A Sikh Perspective on Life-Stress: Implications for Counselling.” Canadian
Bibliographic record
Abstract
This article presents the Sikh life-stress model as a culture-specific intervention. The article looks at the Sikh world-view, from which it delineates the Sikh perspective on life-stress. It further outlines a framework for incorporating the Sikh life-stress model into the Western counselling context, and concludes with a case vignette to demon-strate how the life-stress model can be integrated with conventional counselling ap-proaches. Cet article présente le modèle sikh du stress de la vie en tant qu’intervention propre à cette culture. On s’y penche sur la vision du monde sikh, à partir de laquelle est délimi-tée la perspective sikhe sur le stress de la vie. En outre, l’article donne un aperçu d’un cadre pour incorporer le modèle sikh du stress de la vie au contexte du counselling occidental. Il conclut par une exemple montrant comment le modèle de stress de la vie peut être intégré aux approches habituelles de counselling. The migration and settlement of the Sikhs in Vancouver has created a new milestone in their history in Canada. According to the 2001 Canadian census figures, Sikhs are now the largest non-Christian group in the greater Vancouver area (Statistics Canada, 2003). Although the population of the Sikhs in Vancouver has doubled in the last ten years, from 49,625 to 99,005, research on the Sikh diaspora is still in its infancy. For the most part, the Sikh diaspora has been studied under the umbrella of the larger East Indian, Indo-Canadian, or South Asian
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.036 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".