Understanding the Leisure Experiences of a Minority Ethnic Group: South Asian Teens and Young Adults in Canada
Bibliographic record
Abstract
This paper reports on a qualitative study which sought to examine the role of leisure in the lives of young adults who were the children of visible ethnic minority immigrants to Canada. Its focus was twofold: (a) to explore leisure in their daily lives, its contribution to their sense of identity, and the role leisure played as these young people tried to balance both Canadian society and their own cultural traditions, and (b) to consider how their leisure may have been shaped by such factors as the values and beliefs of their own family members. The young adults were South Asian Canadians whose parents had immigrated to Canada. Findings indicated that as individuals within the minority ethnic culture move from their traditional “small community” toward the “greater society” of the dominant culture, some degree of dissonance and conflict emerged. Although family remained a valued and central aspect of the study participants' lives, conflict emerged within some families as the participants began the process of assimilation and attempted to balance involvement in traditional small community with leisure that is typically pursued by young adults in the greater society. This study provides an understanding of the significance of leisure for these young people in the context of their small community and illuminates the challenges faced in the process of assimilation. Of relevance from both a theoretical and practical perspective is the importance of sustentation of cultural heritage, including leisure within the traditions of family and the small community.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".