Bibliographic record
Abstract
To build on the very valuable contribution of Kates et al., this commentary takes a population health perspective and provides a complementary framework and means of accelerating transformative change in community-oriented primary healthcare (COPHC). The six basic requirements that make up this framework are (1) a geographical population focus, (2) patient and community engagement - a governance mechanism, (3) comprehensive COPHC services, (4) collaborative inter-professional teams and partnerships, (5) performance measurement and quality improvement and (6) innovation in financing. Transformative change in COPHC can be accelerated by the following: an increase funding for the primary prevention of chronic disease; the facilitation of inter-professional collaboration with resources and data; the development of indicators and databases for the above six basic requirements; and annual public reports by the Health Council of Canada based on these indicators to track progress in the transformation of COPHC, with the co-operation of the Canadian Institute for Health Information. The 6% annual uplift in the Canada Health Transfer is a potential source to fund these initiatives.
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 | 0.047 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.019 | 0.052 |
| Scholarly communication | 0.018 | 0.017 |
| Open science | 0.009 | 0.027 |
| Research integrity | 0.030 | 0.024 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".