MétaCan
Menu
Back to cohort
Record W2001104120 · doi:10.1300/j082v43n02_02

Development and Validation of a Scale Measuring Modern Prejudice Toward Gay Men and Lesbian Women

2003· article· en· W2001104120 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Homosexuality · 2003
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsRed Deer PolytechnicUniversity of Saskatchewan
Fundersnot available
KeywordsPsychologySocial psychologyHomosexualityPrejudice (legal term)ConservatismLesbianSchema (genetic algorithms)Social desirabilityInternal consistencyConstruct validityScale (ratio)PsychometricsDevelopmental psychologyPolitics

Abstract

fetched live from OpenAlex

This paper describes the psychometric properties of the Modern Homonegativity Scale (MHS), which measures contemporary negative attitudes toward gay men and lesbians (i.e., attitudes not based on traditional or moral objections to homosexuality). In Study 1 (N = 353), a preliminary version of the MHS was developed, and its psychometric properties were examined. Participants in Studies 2 and 3 (Ns = 308 and 233, respectively) completed the MHS and other attitudinal measures. The relationships among these variables were investigated to provide a more comprehensive assessment of the scale's construct validity. In Study 4 (N = 36), a behavioural expression of modern homonegativity was examined using the attributional ambiguity paradigm. The results of these studies indicate that the MHS is unidimensional, possesses a high degree of internal consistency, and is factorially distinct from a measure of old-fashioned homonegativity. As hypothesized, scores on the MHS correlated positively with political conservatism, religious behaviour, religious self-schema and modern sexism, but did not correlate significantly with social desirability bias. In addition, the MHS appears to be less susceptible to floor effects than a commonly used measure of old-fashioned homonegativity. Finally, the experimental study revealed that participants obtaining high scores on the MHS were less likely to sit beside individuals wearing T-shirts with pro-gay or pro-lesbian slogans when they could justify their seating choice on nonprejudicial grounds.

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.

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)0.002
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 score0.280
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.110
GPT teacher head0.370
Teacher spread0.260 · 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