Internalized homophobia as a partial mediator between homophobic bullying and self-esteem among youths of sexual minorities in Quebec (Canada)
Bibliographic record
Abstract
Verbal/psychological homophobic bullying is widespread among youths of sexual minorities. Homophobic bullying has been associated with both high internalized homophobia and low self-esteem. The objectives were to document verbal/psychological homophobic bullying among youths of sexual minorities and model the relationships between homophobic bullying, internalized homophobia and self-esteem. A community sample of 300 youths of sexual minorities aged 14 to 22 years old was used. A structural equation model was tested using a nonlinear, robust estimator implemented in Mplus. The model postulated that homophobic bullying impacts self-esteem both directly and indirectly, via internalized homophobia. 60.7% of the sample reported at least one form of verbal/psychological homophobic bullying. The model explained 29% of the variance of self-esteem, 19.6% of the variance of internalized homophobia and 5.3% of the verbal/psychological homophobic bullying. The model suggests that the relationship between verbal/psychological homophobic bullying and self-esteem is partially mediated by internalized homophobia. The results underscore the importance of initiatives to prevent homophobic bullying in order to prevent its negative effects on the well-being of youths of sexual minorities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".