The role of leisure pursuits in adaptation processes among Afghan refugees who have immigrated to Winnipeg, Canada
Bibliographic record
Abstract
There is a gap in understanding the adaptation processes of minor, less established, immigrants, including the potential contribution of leisure pursuits to these processes. This study explored the role of leisure among Afghan refugees who have recently immigrated to a western Canadian city in adapting to their immigration processes. Using semi‐structured one‐on‐one interviews with 11 Afghan immigrant women and men aged from 19 to 60 years (including single women and men, single mothers with children, and two‐parent families with children), this study examined how or in what ways leisure engagements may help them adapt to their new life environment. An overarching theme identified from our phenomenological analyses of the interview data emphasises meaningful, purposeful and enjoyable leisure as a way of helping those individuals adapt to stressful life challenges in a host country/community. Not only were socially and culturally meaningful forms of leisure and recreation instrumental and purposeful to facilitate social connections and networks with Afghan families and friends as well as with non‐Afghan Canadian friends, but these also provided opportunities for cultural celebration, problem‐solving, learning and development (including cross‐cultural interaction, learning and sharing). Overall, the engagements in enjoyable, purposeful and meaningful leisure can be regarded as an expression of Afghan immigrants’ cultural strengths for their survival and thriving during stressful adaptation processes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".