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Record W4412186957 · doi:10.1177/19485506251352242

Greater Bias Toward Transgender People Compared to Gay Men and Lesbian Women Is WEIRD

2025· article· en· W4412186957 on OpenAlexfundno aff
Jaime L. Napier

Bibliographic record

VenueSocial Psychological and Personality Science · 2025
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersYork UniversityNew York University Abu Dhabi
KeywordsLesbianTransgenderPsychologyMale HomosexualitySocial psychologyHomosexualityTransgender PersonGender studiesPsychoanalysisSociologyMen who have sex with menHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

The greater acceptance of gay, compared with transgender, people in Western countries may be a result of a specific trajectory—where queer rights was centered by and around White, middle class, gender-conforming gay men—and may not generalize to other places. Two surveys of respondents in 23 countries ( Ns∼ = 500 or 1,000 per country) showed that bias toward gay and transgender people is lower in Western (vs. non-Western) countries, but that the relative bias changes as a function of region: there is greater acceptance of gay (vs. transgender) people in most Western countries, whereas the reverse is true in most non-Western countries. Analyses of legal frameworks ( N = 193) show that recognition of same-gender unions is prevalent in Western countries but virtually nonexistent elsewhere, whereas recognition of gender marker changes is prevalent throughout the world. Overall, in the most intolerant places, transgender people are relatively more accepted than gay people.

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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.236
GPT teacher head0.466
Teacher spread0.230 · 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
Published2025
Admission routes1
Has abstractyes

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