Family medicine research capacity building: five-weekend programs in Ontario.
Bibliographic record
Abstract
PROBLEM BEING ADDRESSED: Research is not perceived as an integral part of family practice by most family physicians working in community practices. OBJECTIVE OF THE PROGRAM To assist community-based practitioners in answering research questions that emerge from their practices in order for them to gain a better understanding of research and its value. PROGRAM DESCRIPTION: The Ontario College of Family Physicians developed a program consisting of 5 sets of weekend workshops, each 2 months apart. Two pilots of the 5-weekend program occurred between 2000 and 2003. After the pilots, thirteen 5-weekend programs were held in 2 waves by 20 facilitators, who were trained in one of two 1-day seminars. CONCLUSION: This 5-weekend program, developed and tested in Ontario, stimulates community practitioners to learn how to answer research questions emerging from their practices. A 1-day seminar is adequate to train facilitators to successfully run these programs. Evaluations by both facilitators and program participants were very positive, with many participants stating that their clinical practices were improved as a result of the program. The program has been adapted for residency training, and it has already been used internationally.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".