Community development: Local Immigration Partnerships in Canada and implications for Slovenia
Bibliographic record
Abstract
Canada is perceived as a strongly desired final destination for many refugees and immigrants due to its socio-economic advantages. The author assesses the Canadian praxis of the immigrant settlement from the community development standpoint, with a specific interest to present how successful Canadian immigration policy has been on the local level by using the established Local Immigration Partnerships model. On the other hand, by adopting the so-called restricted model of immigrant integration Slovenia has not developed a consistent model of integration, specifically leaving aside the potential of local areas in resolving these complex issues. The paper is confirming that due to institutionalized multilevel partnership Canada has been more successful in immigrant integration than Slovenia. In both countries, however, integration into the health system has been evidently the most acute problem. In order to obtain more relevant results, a mixed-methods research was used combining interviews and integration indexes. In the majority of integration parameters, Canada shows significantly better results than Slovenia.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".