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Record W2065349323 · doi:10.6000/1929-4409.2014.03.24

Community Policing, Workplace Structure and Attitudes Toward Lesbians and Gay Men and their Civil Liberties

2014· article· en· W2065349323 on OpenAlexvenueno aff
Mary Bernstein, Stephen Wulff

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCivil libertiesSexual orientationCriminal justiceInequalityCriminologyHuman sexualityEconomic JusticeCivil rightsAffect (linguistics)SociologyPolitical sciencePsychologySocial psychologyLawPolitics

Abstract

fetched live from OpenAlex

While criminal justice workplaces, such as the police and prisons, are noted for reproducing both gender inequality and inequality based on sexuality or sexual orientation, this paper examines whether reorganizing the workplace can alter those interactions and reduce inequality. We draw on survey data from a police department to theorize the likely impact of the move toward community policing and rehabilitative models of justice on the attitudes of heterosexual sworn officers and civilian employees toward lesbians and gay men and their civil rights. Our analysis shows that sworn officers and civilian employees’ attitudes toward community policing and rehabilitation significantly affect their views on lesbians and gay men and their civil liberties both directly and indirectly. We conclude by suggesting the policy implications of our findings and avenues for future research.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.370
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Journal of Criminology and SociologySame topicSexual Assault and Victimization StudiesFrench-language works237,207