Bibliographic record
Abstract
As rural communities struggle with the out-migration of their youth and an ageing population, they are increasingly looking to immigration as a partial solution to their dilemmas of a shrinking tax base and labour market shortages. There has been a great deal of research on immigrants, but little in the way of rural research and what rural research there is has tended to examine how to attract immigrants to rural and small communities. There has been very little research that has examined the rural immigrants’ experience, a gap this study begins to address. This is a qualitative study that examines the experiences of 12 immigrants who are now residing in rural communities in Ontario. The study reports back on three themes: employment issues, social issues, and cultural issues. Keywords: rural, immigration, employment, social issues, cultural issues ----------------------------------------------------- A travers leurs yeux: experiences d'immigrants ruraux Resume Alors que les communautes rurales doivent faire face a l'exode des jeunes et a une population vieillissante, elles considerent de plus en plus l'immigration comme une solution partielle aux dilemmes de la reduction de l'assiette fiscale et de la penurie de main d'œuvre. Il y a eu beaucoup de recherches sur les immigrants, mais tres peu de recherches en milieu rural et les recherches effectuees en milieu rural ont eu tendance a examiner la maniere d'attirer les immigrants dans les petites communautes rurales. Tres peu de recherches ont examine l’experience des immigres ruraux, une lacune que cette etude commence a combler. Il s'agit d'une etude qualitative qui examine les experiences de 12 immigrants qui resident maintenant dans des communautes rurales de l'Ontario. L'etude fait un rapport selon trois themes: les problemes d'emploi, les problemes sociaux et les problemes culturels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".