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Record W2158700053 · doi:10.1177/0275074005281387

Social Class, Sexual Orientation, and Toward Proactive Social Equity Scholarship

2006· article· en· W2158700053 on OpenAlexaboutno aff
Kenneth Oldfield, George Candler, Richard Greggory Johnson

Bibliographic record

VenueThe American Review of Public Administration · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsSexual orientationScholarshipSocial equalityPublicationEquity (law)Social classSociologyPublishingAdministration (probate law)Gender studiesPublic relationsPolitical sciencePublic administrationLaw

Abstract

fetched live from OpenAlex

An analysis of data from the premier public administration journals in Australia, Brazil, Canada, and the United States shows academic public administration has taken both a narrow and a conservative approach to four social equity issues, including gender, race, sexual orientation, and social class. The findings show these periodicals (a) seldom and sometimes never publish articles on the four themes; (b) confine nearly all their social equity writings to race and gender; sexual orientation and social class receive little or no attention; and (c) only publish such papers long after the matter has become fashionable in most other social circles. The article concludes by suggesting ways American public administration can develop a more intellectually diverse, proactive professoriat, thereby allowing for publishing more—and more timely—articles about emerging social equity topics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.999
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0040.009
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.156
GPT teacher head0.485
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations70
Published2006
Admission routes1
Has abstractyes

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