Belonging and Mental Wellbeing Among a Rural Indian-Canadian Diaspora: Navigating Tensions in “Finding a Space of Our Own”
Bibliographic record
Abstract
Belonging is linked to a variety of positive health outcomes. Yet this relationship is not well understood, particularly among rural immigrant diasporas. In this article, we explore the experiences of community belonging and wellbeing among a rural Indian-Canadian diaspora in the Interior of British Columbia, Canada, our central research questions being, "What are the experiences of belonging in this community? How does a sense of belonging (or lack of) shape mental health and wellbeing among local residents?" Using a situational analysis research approach, our findings indicate that local residents must navigate several tensions within an overarching reality of finding a space of our own. Such tensions reveal contradictory experiences of tight-knitedness, context-informed notions of cultural continuity, access/acceptability barriers, particularly in relation to rural agricultural living, and competing expectations of "small town" life. Such tensions can begin to be addressed through creative service provision, collaborative decision making, and diversity-informed program planning.
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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 | 0.001 |
| Science and technology studies | 0.029 | 0.013 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 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".