Cited by 12

The DOI matches its Crossref record.

Organizational learning: A tool for diversity and institutional effectiveness

Smith, Daryl G., Parker, Sharon·2005·New Directions for Higher Education

Abstract

Organizational learning, along with a framework for diversity, is an effective approach for campuses seeking sustained institutional change with regard to diversity.

Overview

Integrity signals

Registry

Crossref · 10.1002/he.191

Cites

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Verification

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Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 17

  1. 10.1353/jhe.2003.0034 · DOI
  2. 10.1353/jhe.2003.0048 · DOI
  3. 10.1023/B:IHIE.0000006287.69207.00 · DOI
  4. Eckel P., 2001, On Change V: Riding the Wings of Change: Insights from Transforming Institutions
  5. Hernandez G., 2001, Creating a Culture of Inquiry: A James Irvine Foundation Report
  6. Ibarra R. A., 2000, Beyond Affirmative Action: Reframing the Context of Higher Education
  7. 10.1353/jhe.2002.0038 · DOI
  8. Musil C. M., 1999, To Form a More Perfect Union: Campus Diversity Initiatives
  9. Nettles M., 2002, Assessing Diversity on College and University Campuses
  10. 2001, Returning Results: Planning and Evaluation at the Pew Charitable Trusts
  11. Preskill H., 1999, Inquiry for Learning in Organizations
  12. Shireman R., 2003, Ten Questions College Officials Should Ask About Diversity, Chronicle Review
  13. Smith D. G., 1997, Evaluation Report: To the James Irvine Foundation on the Campus Diversity Initiative
  14. Smith D. G., 1999, Diversity and Unity: The Role of Higher Education in Building Democracy
  15. Smith D. G., 2000, A Diversity Research Agenda
  16. 2002, A Guide to Using Evidence in the Accreditation Process
  17. 1998, Evaluation Handbook

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Metadata

Authors
Smith, D. G., & Parker, S.
Venue
New Directions for Higher Education
Publisher
Wiley
Published
2005-09
Volume
2005
Issue
131
Pages
113-125
ISSN
  • 0271-0560
  • 1536-0741
Cited by
12
References
0
Language
en

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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.

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