“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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".