Comprehensive Primary Health Care in the Island Lake Communities: What does it mean and how does it look?
Bibliographic record
Abstract
Introduction: As part of a global project on Comprehensive Primary Health Care (CPHC), this project was designed to identify the health beliefs and values of the residents of Garden Hill First Nation and to design a governance model for a CPHC system that would best reflect these health beliefs and values. Methods: The study had three components: First, a research agreement that appropriately recognized and respected the communities’ rights to own, control, access and possess the knowledge generated through the research was negotiated and signed. A literature review was performed to identify any previous articles on First Nations’ conceptualizations of health and on CPHC, especially in a First Nations’ context. Lastly, community level data gathering was in the form of modified focus group activities for youth (age 19-29), adults and elders. The focus groups were recorded and transcribed, and analyzed by three members of the research team for major themes. Results: The following themes were identified as either components of, barriers to, or conditions necessary for health: healthy and affordable food, physical activity, healthy body weights, being clean (personal hygiene, environmental cleanliness), mental health, substance abuse, prenatal health, parenting, link to the land, traditional food, traditional medicine, water, housing, expense of basic necessities, community perspective, community participation/ engagement, community independence, community leadership responsibilities, advocacy, equity, and safe and accessible health care. Of the five criterion of a CPHC system, the third tenet regarding the improvement of social and environmental factors that impact on health was the most significantly emphasized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".