Measuring Homonegativity: Psychometric Analysis of Herek’s Attitudes Toward Lesbians and Gay Men Scale (ATLG) in Colombia, South America
Bibliographic record
Abstract
The empirical study of negative attitudes toward gay and lesbian people (homonegativity) is a way to understand the reason for its prevalence. The aim of this study was to examine the psychometric properties of a Spanish version of the Attitudes Toward Lesbians and gay men scale (ATLG). A total of 359 undergraduate students were recruited from two different cities in Colombia, South America. Participants' attitudes toward gays and lesbian people were assessed using the ATLG Scale and the Homophobia Scale; anxiety was measured using a short version of the Zung Self-Rating Anxiety Scale. Internal consistency analyses have shown that the ATLG Scale is a reliable measure of homonegativity in a Colombian sample. In addition, principal components analyses, as well as convergent and divergent validity analyses have confirmed that the ATLG Scale is a valid and reliable measure of homonegativity in the Colombian context and support its use as a research instrument.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".