Bibliographic record
Abstract
PROBLEM BEING ADDRESSED: Medical care in rural Canada has long been hampered by insufficient numbers of physicians. How can a rural community's physicians change the local medical culture and create a new approach to sustaining their practice? OBJECTIVE OF PROGRAM: To create a sustainable, collegial family practice group and address one rural community's chronically underserviced health care needs. PROGRAM DESCRIPTION: Elements important to physicians'well-being were incorporated into the health care group's functioning to enhance retention and recruitment. The intentional development of a consensus-based approach to decision making has created a supportive team of physicians. Ongoing communication is kept up through regular meetings, retreats, and a Web-based discussion board. Individual physicians retain control of their hours worked each year and their schedules. A novel obstetric call system was introduced to help make schedules more predictable. An internal governance agreement on an alternative payment plan supports varied work schedules, recognizes and funds non-clinical medical work, and pays group members for undertaking health-related projects. CONCLUSION: This approach has helped maintain a stable number of physicians in Marathon, Ont, and has increased the number of health care services delivered to the community.
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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 | 0.001 | 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 | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".