“The Landscape's Changed and No One's Giving them a New Map”: Positive Masculinity in Boys and Young Men
Bibliographic record
Abstract
Background: Rigid adherence to traditional masculine norms is associated with mental ill-health. Positive masculinities have been proposed as more flexible, inclusive, and authentic ways of being, whereby boys and men can embody key human strengths essential to their well-being. Methods: We interviewed 12 school-aged young men, 11 teachers, and 8 parents and employed thematic analysis to examine how positive masculinity is constructed within an Australian all-boys school. Results: Young men endorsed positive masculine traits, such as acceptance of diversity and emotional disclosure. However, as emerging norms competed with traditional ones, some young men were left without a clear idea of ‘how to be’ masculine in the current social and political climate. Conclusions: Results from the present study support going beyond rhetorical messaging espousing what not to do (ie, a deficit-based approach), in advance of simultaneous education regarding what to do instead (ie, a strengths-based approach) when working with young men.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".