Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 301

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Coproduction of Government Services and the New Information Technology: Investigating the Distributional Biases

Clark, Benjamin Y., Brudney, Jeffrey L., Jang, Sung‐Gheel·2013·Public Administration Review

Abstract

This article investigates how communications advances affect citizens’ ability to participate in coproduction of government services. The authors analyze service requests made to the City of Boston during a one‐year period from 2010 to 2011 and, using geospatial analysis and negative binomial regression, investigate possible disparities by race, education, and income in making service requests. The findings reveal little concern that 311 systems (nonemergency call centers) may benefit one racial group over another; however, there is some indication that Hispanics may use these systems less as requests move from call centers to the Internet and smartphones. Consistent with prior research, the findings show that poorer neighborhoods are less likely to take advantage of 311 service, with the notable exception of smartphone utilization. The implications for citizen participation in coproduction and bridging the digital divide are discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/puar.12092

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 301

Metadata

Authors
Clark, B. Y., Brudney, J. L., & Jang, S.
Venue
Public Administration Review
Publisher
Wiley
Published
2013-08-12
Volume
73
Issue
5
Pages
687-701
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2116730387
Cited by
301
References
55
FWCI
79.65
Type
journal article
Language
en
Open access
closed

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.

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 ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.