Library Use and Undergraduate Student Outcomes: New Evidence for Students’ Retention and Academic Success
Open accessAbstract
Academic libraries, like other university departments, are being asked to demonstrate their value to the institution. This study discusses the impact library usage has on the retention and academic success of first-time, first-year undergraduate students at a large, public research university. Usage statistics were gathered at the University of Minnesota during the Fall 2011 semester for thirteen library access points. Analysis of the data suggests first-time, first-year undergraduate students who use the library have a higher GPA for their first semester and higher retention from fall to spring than non-library users.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
3 of 7 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Seventy-five percent of non-returning students withdraw during or immediately following their first semester.
“Colleges and universities have a very small window of opportunity to establish strong connections with students, as 75 percent of non-returning students will withdraw during or immediately following their first semester.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] 21. Florence A. Hamrick, John H. Schuh, and Mack C. Shelley, "Predicting Higher Education Graduation Rates from Institutional Characteristics and Resource Allocation," Education Policy Analysis Archives 12, 19 (2004), Elizabeth M. Mezick, "Return on Investment: Libraries and Student Retention," Journal of Academic Librarianship 33, 5 (2007): 561-566. source
The Introduction and Conceptual Framework discusses retention and first-year persistence, but does not give a percentage or say when non-returning students withdraw. Searches for the 75 percent figure and first-semester withdrawal found no passage supporting the claim; the References list a study of first-semester persistence without reporting this statistic. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
The types of library services used by first-year students were differentially associated with their academic achievement and retention.
“Further, we discovered that the types of library services that first-year students used were also differentially associated with their academic achievement and retention.”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
In the second logistic regression, students enrolled in Intro to Library Research Part 2 were 7.08 times more likely to return for spring semester.
“The odds ratio suggests that students who enrolled in the”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
Each one-unit increase in book loans was associated with a .01 increase in GPA.
“Every one-unit increase in a book loan was associated with a .01increase in students' GPA”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
Among first-time, first-year students at the University of Minnesota Twin Cities in Fall 2011, those who used at least one library service during their first semester had a higher cumulative first-semester GPA than those who used none (3.18 versus 2.98).
“Analysis of the data suggests first-time, first-year undergraduate students who use the library have a higher GPA for their first semester and higher retention from fall to spring than non-library users.”
- Also stated in: § Results · plain
“Students who use the library had an average GPA of 3.18 compared with the average GPA of students who did not use the library, which was 2.98.”
- Also stated in: § Discussion · hedged
“The data suggest that first-year students who used the library at least once in the fall semester had higher grade point averages compared to their peers who did not use the library at all during their first semester.”
Quote in the paperSubstantial claim- Rests on an assumption: Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Also stated in: § Results · plain
- Findingown data
Each one-unit increase in electronic journals accessed was associated with a .002 increase in GPA (reported as .00 after rounding).
“Every one-unit increase in electronic journals accessed was associated with a .00increase in students' GPA (Table 5 rounds to two decimal points and the actual value is .002).”
Quote in the paperNot a substantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
Participation in a course-integrated instruction session was associated with a .08 decrease in GPA compared with peers.
“students who participated in a course-integrated instruction session reported a .08decrease in GPA compared to their peers.”
Quote in the paperNot a substantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
In the first logistic regression, students who used the library at least once in fall were 1.54 times more likely to return for spring semester.
“The odds ratio suggests that students who had used the library at least once during their fall semester were 1.54 times more likely to return for the following semester.”
Quote in the paperSubstantial claim- Rests on an assumption: Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
In the model predicting GPA by type of library service, each one-unit increase in database use was associated with a .01 increase in GPA, holding other factors constant.
“Four types of library uses were significant in this model: a one-unit increase in database use was associated with a .01increase in students' GPA controlling for other factors and holding them constant.”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
The GPA difference between first-year library users and non-users was close to a medium effect size according to Cohen's d.
“The effect size (denoted by Cohen's d) suggests that the difference is close to medium.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] 23. John N. Gardner, "The Freshman Year Experience," Journal of the American Association of Collegiate Registrars and Admissions Officers 61, 4 (1986): 261-274.
- Findingown data
Only two library activities were associated with first-year students' retention: enrollment in Intro to Library Research Part 2 and use of online databases.
“Only two library activities were associated with students' retention: enrollment in the Intro to Library Research Part 2 workshop and use of online databases.”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
Four types of library resources were significantly and positively associated with first-year students' academic achievement: using library workstations, accessing online databases, accessing electronic journals, and checking out books.
“Four particular types of library resources were significantly and positively associated with students' academic achievement: using the library workstations (indicating physical presence in the libraries), accessing online databases, accessing electronic journals, and checking out books.”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Findingown data
For every one-unit increase in database use, students were 1.03 times more likely to return for their second semester.
“For every one-unit increase in database use, students were also 1.03 times more likely to return for their second semester.”
Quote in the paperSubstantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Study design and conductown data
Course-integrated instruction data could not verify whether individual registered students actually attended the librarian's session.
“Student lists for courses that included library instruction include all students registered; however, there is no way to verify whether an individual student actually attended the librarian's instruction session.”
Quote in the paperSubstantial claim - Premisecitation
There is little evidence about the impact that specific library activities may have on student retention.
“Yet, even among those diverse studies, there is little evidence regarding the impact that specific library activities (for example, using licensed, web-based resources; interacting with reference librarians, etc.) may have on student retention.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] 17. Marie Caitlin Kelly, "Student Retention and Academic Libraries," College & Research Libraries News 56, 11 (1995): 757-759;
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The study's findings provide evidence that libraries are important for first-year students' academic achievement and retention.
“This study provides evidence for the importance of libraries in first-year students' academic achievement and retention: first-year students who used libraries in their first semester had higher grade point averages and retention when controlling for additional factors.”
Quote in the paperSubstantial claim- Rests on an assumption: Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Classified as probably not a substantial claim. 7
- May combine two claims. 13
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationAcademic libraries are essential to the core mission of colleges and universities across the nation.
“Academic libraries are essential to the core mission of colleges and universities across the nation.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kuh and Gonyea, 2003 source
Probably not a substantial claim: may not pass S2 (checkable).
PremisereasoningMore contemporary evidence of associations between library use and students' academic achievements is needed.
“While both articles are important contributions to the literature, more contemporary evidence of associations between library use and students' academic achievements is needed.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [12] 12. Patrick Barkey, "Patterns of Student Use of a College Library," College and Research Libraries 26, 2 (1965): 115-118. source
- cites [13] 13. Andrew M. Robinson and Karen Schlegl, "Student Bibliographies Improve When Professors Provides Enforceable Guidelines for Citations," portal: Libraries the Academy 4, 2 (2004): 275-290. source
May combine two claims.
Findingown dataThe first GPA model was statistically significant, F(12,5190)=61.32, p<.001, and explained 12.4% of the variance in cumulative GPA.
“Our first model predicting students' GPA by whether they had used any library service was statistically significant, F(12, 5190) = 61.32,p < .001.The model explains 12.4 percent of the variance in cumulative GPA (Table 5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong the same first-time, first-year students, those who used at least one library service in Fall 2011 had higher fall-to-spring retention than non-users; 2.9% of users and 4.3% of non-users did not return for spring.
“Analysis of the data suggests first-time, first-year undergraduate students who use the library have a higher GPA for their first semester and higher retention from fall to spring than non-library users.”
- Also stated in: § Results · hedged
“Further, the data suggest a significant association between library usage and students' first to second semester retention (χ 2 (1) = 6.86, p < .01).”
- Also stated in: § Results · plain
“In our sample, 2.9 percent of the students who used the library services in their first semester did not return for the spring semester compared with 4.3 percent of students who did not use any library services.”
Quote in the paperSubstantial claim- Rests on an assumption: Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Also stated in: § Results · hedged
May combine two claims.
Findingown dataThe second GPA model was statistically significant, F(24,5178)=34.28, p<.001, and explained 13.7% of the variance in GPA.
“Our second model predicting students' GPA by type of library services used was statistically significant, F(24, 5178) = 34.28,p < .001(Table 5).The model explains 13.7 percent of the variance in GPA.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMost correlations among students' use of all available library services were weak and positive; the strongest were between databases and e-journals (r=.454), databases and Intro 1 instruction (r=.342), and Intro 1 and Intro 2 instruction (r=.474).
“The majority of correlations were weak and positive; however, the strongest correlations were observed between the number of databases and e-journals accessed (r = .454),the number of databases accessed and enrollment in Intro 1 library instruction (r = .342),and enrollment in Intro 1 and Intro 2 library instruction (r = .474).”
Quote in the paperNot a substantial claim- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
May combine two claims.
Findingown dataThe associations between library use and both GPA and retention remained after controlling for demographic, pre-college academic, and college experience variables.
“Both of these findings held when controlling for demographic characteristics, pre-college academic characteristics, and college experience variables.”
Quote in the paperSubstantial claim- Rests on an assumption: Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
May combine two claims.
Findingown dataThe second logistic regression model was statistically significant (χ2=99.01, p<.001, df=24) and correctly classified 96.7% of observed cases.
“A test of the full model against a null model was statistically significant, indicating that the predictors are reliably distinguished between returners and non-returners (χ 2 = 99.01,p < .001,df = 24) and the model correctly classified 96.7 percent of the observed cases (Table 6).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn a multiple linear regression that controlled for demographic, pre-college academic, and college experience variables, library use was positively associated with first-semester GPA; students who used the library had a GPA .23 points higher than non-users.
“The model suggests that library usage is positively associated with students' GPA, with first-year students who used the library reporting a .23 higher grade point average over students who did not use any library services holding other data constant in the model.”
- Also stated in: § Discussion · plain
“Both of these findings held when controlling for demographic characteristics, pre-college academic characteristics, and college experience variables.”
Quote in the paperSubstantial claim- Rests on an assumption: Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
- Rests on an assumption: The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataThe first logistic regression model was statistically significant (χ2=85.90, p<.001, df=12) and correctly classified 96.7% of observed cases.
“A test of the full model against a null model was statistically significant, indicating that the predictors are reliably distinguished between returners and non-returners (χ 2 = 85.90, p < .001,df = 12) (Table 6).Additionally, the regression correctly classified 96.7 percent of the observed cases.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwelve outliers were removed from the descriptive and inferential analyses.
“We removed twelve outliers from the descriptive and inferential analyses in this study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningInterlibrary loan transactions were not recorded for users who created unique ILLiad IDs rather than using their University Internet ID.
“At the time of this project, ILLiad users created their own ILLiad account.Most people used their University of Minnesota Internet ID, but a small number of users created unique ILLiad IDs.Therefore, their transactions were not recorded for this study.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe analyses controlled for demographic characteristics (gender, race/ethnicity, international status, Pell grant, first-generation, veteran status), pre-college academic characteristics (ACT/SAT, AP credits), and college experiences (living on campus, freshman seminars, ATS program).
“We controlled for the influence of demographic characteristics on students' academic outcomes, including gender, race/ethnicity, and international status.We also controlled for whether students had received Pell grants, were first-generation college students (that is, neither parent had earned a bachelor's degree), and had military veteran status.”
- Also stated in: § Library usage. · plain
“Additionally, we wanted to control for the effect of students' pre-college academic characteristics.For these measures, we used students' ACT composite scores.”
Quote in the paperSubstantial claim- Also stated in: § Library usage. · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningWorkshop attendance data were limited because students could walk in without registering or not attend without canceling.
“Because the one-to two-hour library workshops are free, students often walk in without registering or choose not to attend without canceling their registration.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningReference data were limited to online interactions where an Internet ID was provided because reference staff almost never recorded identifying information.
“Reference desk staff and liaisons focus on the patron's question rather than their identity, and identifying information is almost never recorded.Therefore, the data used in this study are limited to online interactions where an Internet ID was provided.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationMany libraries do not collect data on students' use of services to protect privacy, leading to a shortage of studies on library use and student outcomes.
“Additionally, many libraries do not collect data related to students' use of services to protect library user privacy; consequently, the lack of data collection leads to a shortage of studies examining the association between library use and student outcome.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] 11. Patricia B. Knapp, The Monteith College Library Experiment (New York: Scarecrow Press, 1966).
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningWorkstation use data did not include computers in the Libraries SMART Learning Commons because they did not use CybraryN.
“At the time of this project, computers within the Libraries SMART Learning Commons did not yet utilize CybraryN and were not included in this study.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningDigital resource use was not fully captured because on-campus users could access licensed resources without logging in, so some use was not tied to an Internet ID.
“Due to IP based authentication, users on campus do not need to log in to access licensed resources.The logging script can often log an Internet ID even while on campus if the user has logged in through central authentication for some other purpose, but some portion of digital resource use was not tied to an Internet ID.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Restricting the sample to first-time, first-year students and controlling for the listed demographic, pre-college academic, and college-experience variables eliminates confounding influences on the relationship between library use and student outcomes.
“To isolate the potential impact of library usage and eliminate the potential for confounding influences to affect student outcomes, we examined only first-time, first-year students and their library usage during their first semester (Fall 2011) of enrollment at a large, public research university.”
The paper relies on this without support.
The library usage measures (logins, loans, workshop registration, and other recorded interactions) accurately identify which students used library services and distinguish them from non-users.
“Data were gathered on students' use of a variety of library services in two primary ways: the first group of data was automatically collected by virtue of student log-ins to central databases and websites.”
“The second group of data was developed by building lists of patrons who engaged with library staff through instruction sessions and reference interactions.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A reference visit had a more significant impact upon students at Lewis & Clark Community College than for the students in the University of Minnesota study.
“It is interesting to note that a reference visit had a more significant impact upon students at Lewis & Clark than for the students in the University of Minnesota study.”
From Assessing the Impact of Reference Assistance and Library Instruction on Retention and Grades Using Student Tracking Technology (2018) · cites this paper as Soria, Fransen, & Nackerud, 2013
The Library usage and Reference sections say the University of Minnesota study recorded chat reference transactions but could not track most in-person reference visits. The Results section lists the library services significantly associated with GPA, and reference is not among them. The paper provides a basis for the Minnesota side of the comparison, but it does not assess students at Lewis & Clark or establish that a reference visit had a greater impact there. (LLM, conf=0.78)
Experimental — accuracy not yet measuredStudents' GPAs were positively associated with library use (database use, electronic journals, and book loans).
“Using student database login information and student instructional and reference interactions, they demonstrated that students' GPAs were positively associated with students' library use (e.g., database use, electronic journals, and book loans), but students' GPAs were negatively associated with course-integrated instruction sessions.”
From The Library’s Impact on University Students’ Academic Success and Learning (2019) · cites this paper as Soria et al., 2013
Students' GPAs were negatively associated with course-integrated instruction sessions.
“Using student database login information and student instructional and reference interactions, they demonstrated that students' GPAs were positively associated with students' library use (e.g., database use, electronic journals, and book loans), but students' GPAs were negatively associated with course-integrated instruction sessions.”
From The Library’s Impact on University Students’ Academic Success and Learning (2019) · cites this paper as Soria et al., 2013
Correlational evidence links student retention and academic success with academic libraries, as published by the University of Minnesota.
“Correlational evidence linking student retention and academic success with academic libraries published by the University of Minnesota (Soria, Fransen, & Nackerud, 2013) was also instrumental in the Student Success Team's decision to investigate the impact of Reid Library upon student grades and retention.”
From Assessing the Impact of Reference Assistance and Library Instruction on Retention and Grades Using Student Tracking Technology (2018) · cites this paper as Soria, Fransen, & Nackerud, 2013
First-year students at the University of Minnesota who used the library had a higher grade point average and fall-to-spring retention rate than their peers who did not use the library.
“Findings from this research suggested that first-year students that used the library had a higher grade point average and fall-to-spring retention rate than their peers that did not use the library (Soria, Fransen, & Nackerud, 2013).”
From Assessing the Impact of Reference Assistance and Library Instruction on Retention and Grades Using Student Tracking Technology (2018) · cites this paper as Soria, Fransen, & Nackerud, 2013
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- ConsistentF(12, 5190) = 61.32reported p < .001 · recomputed p < .001
“F(12, 5190) = 61.32,p < .001”
- ConsistentF(24, 5178) = 34.28reported p < .001 · recomputed p < .001
“F(24, 5178) = 34.28,p < .001”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Self-check results appear here once an independent check has confirmed them.
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Murray, A., Ireland, A., & Hackathorn, J. (2016) · College & Research Libraries · doi:10.5860/crl.77.5.631 · Cited by 60 · see citing works
The Impact of Academic Library Resources on Undergraduates’ Degree Completion
Soria, K., & Fransen, J. (2017) · College & Research Libraries · doi:10.5860/crl.78.6.812 · Cited by 59 · see citing works
Self-citationBeyond Books: The Extended Academic Benefits of Library Use for First-Year College Students
Soria, K. M., Fransen, J., & Nackerud, S. (2017) · College & Research Libraries · doi:10.5860/crl.78.1.8 · Cited by 57 · see citing works
Self-citationThe Impact of the Academic Library on Student Success: Connecting the Dots
Thorpe, A., Lukes, R., Bever, D. J., & He, Y. (2016) · portal Libraries and the Academy · doi:10.1353/pla.2016.0027 · Cited by 55 · see citing works
Mining library and university data to understand library use patterns
Renaud, J. P., Britton, S., Wang, D., & Ogihara, M. (2015) · The Electronic Library · doi:10.1108/el-07-2013-0136 · Cited by 55 · see citing works
“Soria et al. (2013) found that the use of library resources positively impacted academic achievement and next-semester retention of first-year students.”
BackgroundInvestigating the Relationship of Library Usage to Student Outcomes
Stemmer, J. K., & Mahan, D. M. (2016) · College & Research Libraries · doi:10.5860/crl.77.3.359 · Cited by 54 · see citing works
The Academic Library’s Contribution to Student Success: Library Instruction and GPA
Gaha, U., Hinnefeld, S., & Pellegrino, C. (2018) · College & Research Libraries · doi:10.5860/crl.79.6.737 · Cited by 52 · see citing works
Emotional Intelligence, Library Use and Academic achievement of University Students
Jan, S. U., & Anwar, M. (2019) · Journal of the Australian Library and Information Association · doi:10.1080/24750158.2019.1572482 · Cited by 52 · see citing works
“Soria, Fransen, and Nackerud (2013) found statistically significant differences on academic achievement (i.e. CGPA) among the users and non-users of library services.”
BackgroundUnderstanding Patterns of Library Use Among Undergraduate Students from Different Disciplines
Collins, E., & Stone, G. (2014) · Evidence Based Library and Information Practice · doi:10.18438/b8930k · Cited by 49 · see citing works
“So, for example, Wong and Webb (2011), Cox and Jantti (2012), Stone and Ramsden (2013), and Soria, Fransen, and Nackerud (2013) have looked at various measures of library usage to understand their relationship with final degree outcome.”
BackgroundJones, K. M. L. (2019) · portal Libraries and the Academy · doi:10.1353/pla.2019.0025 · Cited by 48 · see citing works
Kot, F. C., & Jones, J. L. (2015) · College & Research Libraries · doi:10.5860/crl.76.5.566 · Cited by 47 · see citing works
Effects of AI-Based ChatGPT on Higher Education Libraries
Aithal, S., & Aithal, P. S. (2023) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0272 · Cited by 66 · see citing works
The Library’s Impact on University Students’ Academic Success and Learning
Scoulas, J. M., & De Groote, S. L. (2019) · Evidence Based Library and Information Practice · doi:10.18438/eblip29547 · Cited by 45 · see citing works
Analyzing Demographics: Assessing Library Use Across the Institution
Nackerud, S., Fransen, J., Peterson, K., & Mastel, K. (2013) · portal Libraries and the Academy · doi:10.1353/pla.2013.0017 · Cited by 43 · see citing works
Self-citationE-Book Perceptions and Use in STEM and Non-STEM Disciplines: A Comparative Follow-Up Study
Carroll, A. J., Corlett-Rivera, K., Hackman, T., et al. (2016) · portal Libraries and the Academy · doi:10.1353/pla.2016.0002 · Cited by 43 · see citing works
Connecting Library Use to Student Success
LeMaistre, T., Shi, Q., & Thanki, S. (2018) · portal: Libraries and the Academy · doi:10.1353/pla.2018.0006 · Cited by 42 · see citing works
Smart Library and Smart Campus
Chan, H. C. Y., & Chan, L. (2018) · Journal of Service Science and Management · doi:10.4236/jssm.2018.116037 · Cited by 38 · see citing works
“As university libraries are repositories of research in virtually all fields and libraries are accessible for the next generation of working adults, improving libraries would greatly advance society in general (Soria, Fransen, & Nackerud, 2013) [25].”
BackgroundThe Academic Library and Student Retention and Graduation: An Exploratory Study
Crawford, G. A. (2015) · portal: Libraries and the Academy · doi:10.1353/pla.2015.0003 · Cited by 37 · see citing works
Beyond Books: The Extended Academic Benefits of Library Use for First-Year College Students
Soria, K. M., Fransen, J., & Nackerud, S. (2017) · College & Research Libraries · doi:10.5860/crl.v78i1.16564 · Cited by 37 · see citing works
Self-citationAssessing the Value of Course-Embedded Information Literacy on Student Learning and Achievement
Davidson, S., & Mikkelsen, S. (2016) · College & Research Libraries · doi:10.5860/crl.77.2.164 · Cited by 36 · see citing works
Information Literacy and Retention: A Case Study of the Value of the Library
Catalano, A. J., & Phillips, S. R. (2016) · Evidence Based Library and Information Practice · doi:10.18438/b82k7w · Cited by 33 · see citing works
“This suggests that students who utilize library resources are more likely to be retained and potentially graduate (Haddow, 2013; Haddow & Joseph, 2010; Soria et al., 2013; Stone & Ramsden, 2013).”
BackgroundA Comprehensive Primer to Library Learning Analytics Practices, Initiatives, and Privacy Issues
Jones, K. M. L., Briney, K. A., Goben, A. H., Salo, D., Asher, A., & Perry, M. R. (2020) · College & Research Libraries · doi:10.5860/crl.81.3.570 · Cited by 34 · see citing works
Socioeconomic Indicators Associated with First-year College Students' Use of Academic Libraries
Soria, K. M., Nackerud, S., & Peterson, K. (2015) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2015.06.011 · Cited by 33 · see citing works
Self-citationAcademic libraries & institutional learning analytics: One path to integration
Oakleaf, M., Whyte, A., Lynema, E., et al. (2017) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2017.08.008 · Cited by 31 · see citing works
The academic library’s role in student retention: a review of the literature
de Oliveira, S. M. (2017) · Library Review · doi:10.1108/lr-12-2016-0102 · Cited by 32 · see citing works
Unethical Numbers? A Meta-analysis of Library Learning Analytics Studies
Robertshaw, M. B., & Asher, A. (2019) · Library Trends · doi:10.1353/lib.2019.0031 · Cited by 32 · see citing works
Making a makerspace case for academic libraries in Nigeria
Okpala, H. N. (2016) · Global Knowledge, Memory and Communication · doi:10.1108/nlw-05-2016-0038 · Cited by 31 · see citing works
The Impact of Library Instruction on Undergraduate Student Success: A Four-Year Study
Rowe, J., Leuzinger, J., Hargis, C., & Harker, K. (2021) · College & Research Libraries · doi:10.5860/crl.82.1.7 · Cited by 31 · see citing works
Hays, L., & Handler, K. (2020) · Journal of Library & Information Services in Distance Learning · doi:10.1080/1533290x.2020.1828219 · Cited by 30 · see citing works
Factors Predicting the Importance of Libraries and Research Activities for Undergraduates
Soria, K. M. (2013) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2013.08.017 · Cited by 30 · see citing works
“Given the important role libraries play in students' admission decisions (Lombard, 2012; Reynolds, 2007), librarians, administrators, and campus partners in admissions offices can start early by reaching out to prospective undergraduates and communicating the ways in which libraries contribute to students' academic su…”
BackgroundSelf-citationIdentifying and Articulating Library Connections to Student Success
Massengale, L., Piotrowski, P., & Savage, D. (2016) · College & Research Libraries · doi:10.5860/crl.77.2.227 · Cited by 30 · see citing works
Do libraries save LGBT students?
Wexelbaum, R. S. (2017) · Library Management · doi:10.1108/lm-02-2017-0014 · Cited by 30 · see citing works
Utilisation of Library Information Resources among Generation Z Students: Facts and Fiction
Salubi, O. G., Ondari-Okemwa, E. M., & Nekhwevha, F. (2018) · Publications · doi:10.3390/publications6020016 · Cited by 29 · see citing works
“One of such investigations at the University of Minnesota on the utilization of library resources by first-year college students suggests that first-time, first-year college students who utilize the library have a higher Grade Point Average (GPA) for their first semester and higher retention from fall to spring than t…”
BackgroundSample, A. (2020) · Information Technology and Libraries · doi:10.6017/ital.v39i1.11723 · Cited by 28 · see citing works
Academic Libraries and Student Engagement: A Literature Review
Appleton, L. (2020) · New Review of Academic Librarianship · doi:10.1080/13614533.2020.1784762 · Cited by 28 · see citing works
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Understanding the transfer student experience using design thinking
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“Given the possible associations highlighted in a number of studies between library use and student success – including higher GPAs and greater retention rates (Soria et al., 2013; Haddow, 2013) – how could the Libraries support institutional efforts to help students succeed?”
BackgroundData Management Practices in Academic Library Learning Analytics: A Critical Review
Briney, K. A. (2019) · Journal of Librarianship and Scholarly Communication · doi:10.7710/2162-3309.2268 · Cited by 27 · see citing works
“The other four articles published about this data set (Soria et al., 2014, 2017b, 2013, 2015) do not provide further clarity, stating only that this data is collected via a “click-through” script.”
BackgroundRelationship of Library Assessment to Student Retention
Mezick, E. M. (2015) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2014.10.011 · Cited by 24 · see citing works
Walters, W. H. (2015) · Journal of Librarianship and Information Science · doi:10.1177/0961000615572174 · Cited by 24 · see citing works
“…(budgets, staff, use of collections, etc.) and variables such as academic achievement (Cherry et al., 2013; Soria et al., 2013; Wong and Webb, 2011), student persistence/retention (Emmons and Wilkinson, 2011; Haddow, 2013; Soria et al., 2013), and university reputation (Weiner, 2009).”
BackgroundInfluentialOakleaf, M. (2018) · Information and Learning Sciences · doi:10.1108/ils-08-2017-0080 · Cited by 23 · see citing works
“…persistence through programs and timely graduation (Soria et al., 2017; Murray et al., 2016; Catalano and D ow nl oa de d by U ni ve rs iti T ek no lo gi M A R A A t 2 1: 34 2 2 O ct ob er 2 01 8 (P T ) Phillips, 2016; Soria et al., 2013, 2014; Stone and Ramsden, 2013; Jantti and Cox, 2013).”
BackgroundJust-in-Time or Just-in-Case? Time, Learning Analytics, and the Academic Library
Nicholson, K. P., Pagowsky, N., & Seale, M. (2019) · Library trends · doi:10.1353/lib.2019.0030 · Cited by 23 · see citing works
Developing the Informed Learning Scale: Measuring Information Literacy in Higher Education
Flierl, M. A., Maybee, C., & Bonem, E. M. (2021) · College & Research Libraries · doi:10.5860/crl.82.7.1004 · Cited by 21 · see citing works
Marineo, F., & Shi, Q. (2019) · Journal of Library & Information Services in Distance Learning · doi:10.1080/1533290x.2018.1499235 · Cited by 20 · see citing works
“Soria et al. (2013), for example, found a statistically significant relationship between library engagement and one-year retention; however, their study included several measures of library usage beyond instruction.”
BackgroundQuantifying Library Engagement: Aligning Library, Institutional, and Student Success Data
Croxton, R., & Moore, A. (2020) · College & Research Libraries · doi:10.5860/crl.81.3.399 · Cited by 20 · see citing works
Librarians in the Midst: Improving Student Research Through Collaborative Instruction
Shannon, A., & Shannon, V. P. (2016) · Journal of Political Science Education · doi:10.1080/15512169.2016.1157486 · Cited by 20 · see citing works
“Soria, Fransen, and Nackerud (2013) found significant impacts on a student’s grade point average (GPA) and retention for a number of library-related interactions, including database use, use of electronic journals, and use of computer workstations, but did not find a significant relationship…”
BackgroundUncovering the information literacy skills of first-generation and provisionally admitted students
Graves, S. J., LeMire, S., & Anders, K. C. (2020) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2020.102260 · Cited by 20 · see citing works
Library Usage, Instruction, and Student Success across Disciplines: A Multilevel Model Approach
Anderson, L. L., & García, S. V. (2020) · College & Research Libraries · doi:10.5860/crl.81.3.459 · Cited by 19 · see citing works
Jones, W. L., & Mastrorilli, T. M. (2022) · Evidence Based Library and Information Practice · doi:10.18438/eblip30090 · Cited by 19 · see citing works
“Soria et al. (2017) explored “the impact of library resources on college students’ longitudinal outcomes as related to their graduation or continued enrollment after four years of study” (p. 813). They used quasi-experimental procedures (PSM techniques) to construct control (nonlibrary users) and treatment (library us…”
BackgroundMethodResultInfluentialThe Library’s Contribution to Student Learning: Inspirations and Aspirations
Oakleaf, M. (2015) · College & Research Libraries · doi:10.5860/crl.76.3.353 · Cited by 18 · see citing works
Summers, R. J., Higson, H. E., & Moores, E. (2020) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2020.1822282 · Cited by 18 · see citing works
Communicating Library Impact on Retention: A Framework for Developing Reciprocal Value Propositions
Murray, A. L., & Ireland, A. (2016) · Journal of Library Administration · doi:10.1080/01930826.2016.1243425 · Cited by 17 · see citing works
“In the former category, studies such as those conducted by Soria, Fransen, and Nackerud (2013; 2014); Murray, Ireland, and Hackathorn (2016); Haddow (2013); and Haddow and Joseph (2010) found consistent correlations between use of specific library services and retention by tracking library use of…”
BackgroundStone, G., Jensen, K., & Beech, M. (2016) · Journal of Scholarly Publishing · doi:10.3138/jsp.47.2.147 · Cited by 17 · see citing works
Thill, M., Rosenzweig, J. W., & Wallis, L. C. (2016) · Evidence Based Library and Information Practice · doi:10.18438/b8992d · Cited by 17 · see citing works
“The observable trend for GPA in the data supports the results found by Soria et al. (2013), indicating that GPA has a small effect on engagement with the library.”
BackgroundResultThe Out Loud Assignment: Articulating Library Contributions to First-year Student Success
Black, E. L., & Murphy, S. A. (2017) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2017.06.008 · Cited by 17 · see citing works
Academic Libraries and Quality: An Analysis and Evaluation Framework
Atkinson, J. (2017) · New Review of Academic Librarianship · doi:10.1080/13614533.2017.1316749 · Cited by 17 · see citing works
Wright, L. B. (2021) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2021.102431 · Cited by 17 · see citing works
Building the Assessment Librarian Guildhall: Criteria and Skills for Quality Assessment
Oakleaf, M. (2013) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2013.02.004 · Cited by 16 · see citing works
Safety in numbers: developing a shared analytics service for academic libraries
Showers, B., & Stone, G. (2014) · Performance Measurement and Metrics · doi:10.1108/pmm-03-2014-0008 · Cited by 15 · see citing works
Ziegenfuss, D. H., & LeMire, S. (2020) · Reference & User Services Quarterly · doi:10.5860/rusq.59.2.7275 · Cited by 17 · see citing works
Can you see me now?: Engaging distance learners through virtual reference consultations
Chesley, C., Lowe, A. M., & Puzier, L. (2020) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2020.102199 · Cited by 15 · see citing works
Books, Bytes, and Buildings: The Academic Library's Unique Role in Improving Student Success
Hess, A. N., Greer, K., Lombardo, S. V., & Lim, A. (2015) · Journal of Library Administration · doi:10.1080/01930826.2015.1085241 · Cited by 15 · see citing works
“Soria, Fransen, and Nackerud (2013) focused specifically on the library-use patterns of first-year students at the University of Minnesota by tracking database, eBook, and e-journal logins; Web site logins; checkouts of library materials; interlibrary loan transactions; and library workstation…”
Background“I Never Had to Use the Library in High School”: A Library Instruction Program for At-Risk Students
Fleming‐May, R. A., Mays, R., & Radom, R. (2015) · portal Libraries and the Academy · doi:10.1353/pla.2015.0038 · Cited by 15 · see citing works
The Impact of the Academic Library on Students' Success, in Their Own Words
Groote, S. L. D., & Scoulas, J. M. (2022) · portal Libraries and the Academy · doi:10.1353/pla.2022.0021 · Cited by 14 · see citing works
Krieb, D. (2018) · Evidence Based Library and Information Practice · doi:10.18438/eblip29402 · Cited by 13 · see citing works
“As previously mentioned in the literature review section, the research of Soria, Fransen, and Nackerud (2013) at the University of Minnesota was one of the first published articles to apply student-level tracking data from an academic library to investigate the impact of librarians, services, and…”
BackgroundRevision of an academic library user experience survey
Dünya, B. A., & Groote, S. L. D. (2019) · Performance Measurement and Metrics · doi:10.1108/pmm-10-2018-0026 · Cited by 13 · see citing works
Beile, P., Choudhury, K., Mulvihill, R., & Wang, M. (2020) · College & Research Libraries · doi:10.5860/crl.81.3.435 · Cited by 12 · see citing works
Linking Library Use to Student Engagement
DeVille-Holly, S. D., & Sughrue, J. A. (2023) · Journal of Library Administration · doi:10.1080/01930826.2022.2159240 · Cited by 13 · see citing works
“…the connection between the use of academic libraries and student success is well-documented in the literature (Haddow, 2013; Kot & Jones, 2015; Kuh & Gonyea, 2015; Mao & Kinsley, 2017; Murray et al., 2016; Soria et al., 2013, 2014, 2017a, 2017b; Stemmer & Mahan, 2016; Stone & Ramsden, 2013).”
BackgroundLatino students and the academic library: A primer for action
Bladek, M. (2019) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2018.12.001 · Cited by 12 · see citing works
Complexities of Demonstrating Library Value: An Exploratory Study of Research Consultations
Cox, A., Gruber, A. M., & Neuhaus, C. (2019) · portal Libraries and the Academy · doi:10.1353/pla.2019.0036 · Cited by 12 · see citing works
Rae, S., & Hunn, M. (2015) · Evidence Based Library and Information Practice · doi:10.18438/b80c76 · Cited by 12 · see citing works
Measuring Library Impacts through First Year Course Assessment
Luetkenhaus, H., Hvizdak, E., & Johnson, C. (2017) · Communications in Information Literacy · doi:10.15760/comminfolit.2017.11.2.6 · Cited by 11 · see citing works
Assessing information literacy in first year writing
Walker, K. W., & Whitver, S. M. (2020) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2020.102136 · Cited by 11 · see citing works
Demonstrating academic library impact to faculty: a case study
Yamaguchi, M., & Richardson, J. (2017) · Digital Library Perspectives · doi:10.1108/dlp-09-2017-0034 · Cited by 11 · see citing works
“However, research conducted by Soria et al. (2013) demonstrates that “first-year students who used libraries in their first semester had higher grade point averages and retention (p. 162).””
BackgroundAcademic Librarians and Student Success: Examining Changing Librarian Roles and Attitudes
Simms, S., & Paschke-Wood, J. (2022) · Journal of Library Administration · doi:10.1080/01930826.2022.2127585 · Cited by 10 · see citing works
“(Haddow, 2013, p. 135) That same year, Soria et al. (2013) published their findings from a semester-long study of over 5000 non-transfer, first-year students.”
BackgroundRetention Matters: Academic Libraries Leading the Way
de Oliveira, S. M. (2017) · New Review of Academic Librarianship · doi:10.1080/13614533.2017.1365003 · Cited by 10 · see citing works
“Interestingly enough, studies conducted by Haddow and Joseph (2010); Stone, Pattern, and Ramsden (2012); Haddow (2013); Soria, Fransen, and Nackerud (2013, 2014); Eng and Stadler (2015), and Stemmer and Mahan (2016) indicate that there is a strong evidence that students who spend more time using…”
BackgroundA Multi-Method Information Literacy Assessment Program: Foundation and Early Results
Walters, W. H., Sheehan, S., Handfield, A. E., López-Fitzsimmons, B. M., Markgren, S., & Paradise, L. (2020) · portal Libraries and the Academy · doi:10.1353/pla.2020.0006 · Cited by 10 · see citing works
Cobblah, M.-A., & van der Walt, T. (2016) · Libri · doi:10.1515/libri-2016-0035 · Cited by 10 · see citing works
“Recent studies by Allison (2015) and Krista, Jan, and Shane (2013) analysed the use of libraries in relation to student environment, circulation, full text access and library instruction, and established that there is a correlation between the use of library services and the academic performance of…”
BackgroundInformation Literacy and Instruction: Reference Consultations and Student Success Outcomes
Miller, R. E. (2018) · Reference & User Services Quarterly · doi:10.5860/rusq.58.1.6836 · Cited by 10 · see citing works
McBride, K. R., Gregor, M. N., & McCallister, K. (2017) · Reference Services Review · doi:10.1108/rsr-10-2016-0067 · Cited by 9 · see citing works
“Notable ones include Haddow (2013), Haddow and Joseph (2010), Murray et al. (2016), Soria et al. (2013) and Thorpe et al. (2016).”
BackgroundPfundt, A., & Peterson, L. M. (2024) · Social Psychology of Education · doi:10.1007/s11218-023-09884-x · Cited by 11 · see citing works
“For example, first-year undergraduates’ use of academic library resources is associated with higher retention rates, four-year graduation rates, and higher grade point averages (Allison, 2015; Murray et al., 2016; Soria et al., 2013, 2014, 2017a, b).”
The Academic Library and High-Impact Practices for Student Retention: Perspectives of Library Deans
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Towards a Conceptual Map of Academic Libraries' Role in Student Retention
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Mao, J., & Kinsley, K. M. (2017) · Evidence Based Library and Information Practice · doi:10.18438/b8bh35 · Cited by 9 · see citing works
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Beyond awareness: improving outreach and marketing through user surveys
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Approaches to impact evaluation in academic libraries
de Jager, K. (2017) · IFLA Journal · doi:10.1177/0340035217696321 · Cited by 9 · see citing works
“Studies from Australia (for example Cox and Jantti, 2012), the UK (for example Stone and Ramsden 2013) and the USA (for example Soria et al., 2013) have been combining data from very large datasets to investigate library impact.”
BackgroundLearning from degree-seeking older adult students in a university library
Aagard, M. C., Antúnez, M. Y., & Sand, J. (2015) · Reference Services Review · doi:10.1108/rsr-06-2014-0017 · Cited by 9 · see citing works
“Thus, academic units that impact students’ academic performance, campus engagement, and professional development (like the library) can have an integral role in enriching students’ learning, engagement and perseverance in completing a degree (Soria et al., 2013).”
BackgroundBeile, P., Choudhury, K., & Wang, M. C. (2016) · Journal of Library Administration · doi:10.1080/01930826.2016.1235899 · Cited by 8 · see citing works
“…and Mastel (2013) evaluated the extent to which their library’s services reached students by collecting usage data across nine service points, while Soria, Fransen, and Nackerud (2013) describe data collection for 13 different library usage points for the large-scale study at University of…”
BackgroundThe Influence of School Library Resources on Students’ Learning: A Concept Paper
Mahwasane, N. P. (2017) · International Journal of Educational Sciences · doi:10.1080/09751122.2017.1305739 · Cited by 8 · see citing works
The Academic Library's Role in Student Retention
Clink, K. (2015) · Cornerstone (Minnesota State University, Mankato) · Cited by 8 · see citing works
Beyond service: New outreach strategies to reach student veterans
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Scoulas, J. M., Groote, S. L. D., Shotick, K., & Osorio, N. L. (2024) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2024.102936 · Cited by 7 · see citing works
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- Authors
- Soria, K. M., Fransen, J., & Nackerud, S.
- Affiliations
- University of Minnesota, Duluth (US)
- Venue
- portal: Libraries and the Academy
- Publisher
- Project MUSE
- Published
- 2013-04
- Volume
- 13
- Issue
- 2
- Pages
- 147-164
- ISSN
- 1530-7131 (ISSN-L)
- OpenAlex
- W2099511442
- Cited by
- 238
- References
- 31
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 14 · 2023: 7 · 2022: 8 · 2021: 9 · 2020: 32 · 2019: 21 · 2018: 26 · 2017: 29 · 2016: 29 · 2015: 25 · 2014: 19 · 2013: 6
- FWCI
- 175.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- portal Libraries and the Academy (publishedVersion)
- University of Minnesota Digital Conservancy (University of Minnesota) (submittedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- Topics
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Library and Information Sciences › Library Science and Administration
- Keywords
- academic libraries, library use, student retention, academic performance, first-year students, library usage statistics, grade point average
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-02.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-02.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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