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Record W4403915605 · doi:10.1177/27526461241297383

Are we accepting enough? Examining the association between homophobia and acceptance of diversity

2024· article· en· W4403915605 on OpenAlexafffundabout
Farhin Chowdhury, Yasemin Erdoğan, Chiaki Konishi

Bibliographic record

VenueEquity in Education & Society · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDiversity (politics)Association (psychology)PsychologySocial psychologySociologyPsychotherapistAnthropology

Abstract

fetched live from OpenAlex

Peer victimization is a serious public health problem and Dan Olweus, pioneer in bullying research, has long recognized school safety as a fundamental human right. The purpose of this study was to assess and address a facet of a larger and more complex critique on issues related to Equity, Diversity, and Inclusion in schools. As such, the present study examined how peer and adult acceptance of sexual diversity is associated with homophobic perpetration and peer victimization among high-school students. Two hundred nineteen participants (61.3% boys, M age = 14.82, SD = 1.31) across high schools in Southern Quebec, Canada, completed questionnaires assessing adult acceptance of sexual orientation and reports of homophobic perpetration and victimization among students. Results from path analyses revealed that adult acceptance of sexual diversity significantly predicted homophobic perpetration, β = −0.221, t (9) = −2.68, p = .002, and victimization, β = −0.193, t (9) = −3.05, p = .007, while peers’ acceptance of sexual diversity did not. The findings highlight the importance of adult acceptance of sexual diversity in reducing peer victimization, emphasizing the need for a discrimination-free school climate.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.132
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.140
GPT teacher head0.446
Teacher spread0.306 · 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 teacher head, 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

Citations0
Published2024
Admission routes3
Has abstractyes

Explore more

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