A ‘good life without bells and whistles’: a case study of immigrants’ well-being and leisure and its role in social sustainability in Truro, Nova Scotia
Bibliographic record
Abstract
Attracting immigrants to small towns is one means of bolstering the sustainability of these communities, which are challenged by outmigration and aging populations. In contrast to the common emphasis on immigrants’ economic needs and contributions, this project focused on the subjective well-being of immigrants. Focusing on the experiences of immigrants in Truro, Nova Scotia, we engaged four immigrants and five service providers in semi-structured interviews focused on their experiences in terms of how members of the community in which immigrants settle help to provide resources that influence immigrants’ subjective well-being. Data analyses suggested that two themes, the ‘textured network of support’ and ‘meaningful experiences amidst changing circumstances’, describe the research findings. Overall, immigrants and their supporters described meaningful relationships and sharing of familiar cultural practices as important resources that contributed to immigrants’ well-being as they transitioned and built a ‘new kind of family’ in Truro.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| 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".