“I tend to forget bad things”: Immigrant and refugee young men’s narratives of distress
Bibliographic record
Abstract
Distress among young immigrant and refugee men has drawn increasing research attention in recent years. Nuanced understandings of distress are needed to inform mental health and public health programming. The purpose of this research was to examine distress from the perspectives of young immigrant and refugee men living in Greater Vancouver, British Columbia, Canada. Thirty-three young men (aged 15-22 years) from diverse immigrant and refugee backgrounds participated in interviews, which were conducted between 2014 and 2015. Data were examined using narrative analysis and theories of masculinities. Three narratives were identified-norming distress, acknowledging distress as ongoing, and situating distress. The findings reveal that the narratives offer different frames through which distress was rendered a norm, or acknowledged and situated in relation to the participants' relationships and to masculine discourses that shaped their expressions of distress. The findings can inform initiatives aimed at providing spaces for diverse young men to acknowledge their distress and to receive support for mental health challenges.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".