Homophobic beliefs and attitudes among mid-adolescent boys: exploring the ideas of hybrid masculinities
Bibliographic record
Abstract
Introduction: Homophobia is well-documented as key to social regulation of masculine behavior and practices in Western settings. Yet, empirical data from a number of Western settings has shown a decline in overt homophobic attitudes in the past decade, leading some to suggest that the nature of masculinities is also changing. However, theorizing on the changing nature of masculinities among adolescents has received limited quantitative attention. Research is needed to better understand shifts in adolescent masculinities in contemporary Western settings. Methods: 873, mean age (SD) = 14.39 (0.37)). Data were collected from nine cohorts of grade 9 youth over a 10-year period (2013-2022) as part of the baseline survey of an ongoing evaluation of a gender-transformative healthy relationships program. Results and discussion: We hypothesized that if the ideas of hybrid masculinities held in our sample, we would find that overt homophobic attitudes and adherence to related patriarchal norms (e.g., avoidance of femininity) would decline over this period, but that the use of homophobic name-calling would remain differentiated in terms of to whom it was directed (e.g., a friend, someone they thought was gay). We did find a significant decline in homophobic attitudes and norms related to emotional restriction and avoidance of femininity over the 10-year period, but also found that homophobic name-calling remained differentiated, with significantly higher name-calling toward a friend than toward someone the youth thought was gay. Thus, our hypotheses were supported. We discuss the implications of our findings for future theory and research on understanding adolescent masculinities in context.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".