Becoming men: Gender, disability, and transitioning to adulthood
Bibliographic record
Abstract
Children and youth with progressive conditions are living longer, and there is increased interest in designing programs that will assist them with "transitioning" to adulthood. Almost none of the transitions research to date, however, has attended to the experiences of disabled boys in "becoming men," nor has there been critical conceptual work problematizing notions of "normal" adulthood or theorizing the complex, diverse, and gendered experiences of transitioning. In this Canadian study, we investigated the intersectionality of gender, disability, and emerging adulthood with 15 young men with Duchenne muscular dystrophy. Participants created audio diaries and photographs that were explored in in-depth interviews. Using a Bourdieusian lens and Arthur Frank's notion of the narrative habitus, we examined how participants re/negotiated identities in everyday practices. Our analysis suggested that disability, masculinities, and generational (life stage) identities intersected through "narratives of nondifference," wherein participants worked to establish identities as typical "guys." Within limited fields of school and work, participants distanced themselves from the label of "disabled" and discussed their successes and challenges in terms of normative developmental trajectories. We suggest that the pursuit of "normal" is reproduced and reinforced in health and social programs and closes off other narratives and possibilities.
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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 | 0.000 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.004 |
| 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".