Indigenous initiative for the start-up of health services in urban areas: The Holistic Strategy Project
Bibliographic record
Abstract
Background: The report of the Public Inquiry Commission on relations between Indigenous Peoples and certain public services in Québec (2019) reported problems in accessing health and social services, specifically in urban areas. In order to better serve their members, the Centre d’amitié autochtone de Trois-Rivières (CAATR) launched the Holistic Health Strategy Project. The objectives were: 1) to assess the needs of CAATR members and of the partners in health and social services, and 2) to create a directory of resources intended for the Indigenous people in the region. Methods: An assessment of health and services needs was completed through consultation with members of the community. A literature review was carried out to draw a portrait of the health and social care services and models intended for Indigenous people. Results: A total of 25 participants took part in the consultation. Better access to services (e.g., transport and daycare) and a need for liaison with non-native institutions (e.g., interpreters in hospitals and liaison officers with schools) are expressed. A directory of resources intended for Aboriginals has been created, bringing together more than 20 services and organizations. Conclusion: The results of the Holistic Health Strategy Project highlight the health needs and health particularities of Indigenous people living in urban areas. Measures adapted to the realities of Aboriginal people in urban areas must support and facilitate their access to services.
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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 | 0.010 | 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 | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".