Population Health Intervention Implementation Among Migrants With Precarious Status in Montreal: Underlying Theory and Key Challenges
Bibliographic record
Abstract
The purpose of this study is to describe the underlying theory and the challenges involved in implementing an intervention to access health care services for migrants with precarious status (MPS) in Montreal. The description of the underlying theory of the intervention was based on a documentary analysis and a workshop with clinicians ( n = 9). The challenges were identified through concept mapping ( n = 28) and in-depth interviews ( n = 13). The results of the study indicated that the aims of the intervention were to provide access to health care to MPS primarily to avoid any further health status deterioration. The most significant challenges identified were sustainable funding resources and improved access to care and protection for MPS. The interviews indicated that MPS are difficult to reach out; public health care system rules are unclear; resource constraints make it difficult to provide adequate and continuing care; and advocacy activities are difficult to organize.
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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 | 0.024 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.005 | 0.006 |
| 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".