Milestones on the social accountability journey: Family medicine practice locations of Northern Ontario School of Medicine graduates.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of different levels of exposure to the Northern Ontario School of Medicine's (NOSM's) distributed medical education programs in northern Ontario on FPs' practice locations. DESIGN: Cross-sectional design using longitudinal survey and administrative data. SETTING: Canada. PARTICIPANTS: All 131 Canadian medical graduates who completed FP training in 2011 to 2013 and who completed their undergraduate (UG) medical degree or postgraduate (PG) residency training or both at NOSM. INTERVENTION: Exposure to NOSM's medical education program at the UG (n = 49) or PG (n = 31) level or both (n = 51). MAIN OUTCOME MEASURES: Primary practice location in September of 2014. RESULTS: Approximately 16% (21 of 129) of FPs were practising in rural northern Ontario, 45% (58 of 129) in urban northern Ontario, and 5% (7 of 129) in rural southern Ontario. Logistic regression found that more rural Canadian background years predicted rural practice in northern Ontario or Ontario, with odds ratios of 1.16 and 1.12, respectively. Northern Canadian background, sex, marital status, and having children did not predict practice location. Completing both UG and PG training at NOSM predicted practising in rural and northern Ontario locations with odds ratios of 4.06 to 48.62. CONCLUSION: Approximately 61% (79 of 129) of Canadian medical graduate FPs who complete at least some of their training at NOSM practise in northern Ontario. Slightly more than a quarter (21 of 79) of these FPs practise in rural northern Ontario. The FPs with more years of rural background or those with greater exposure to NOSM's medical education programs had higher odds of practising in rural northern Ontario. This study shows that NOSM is on the road to reaching one of its social accountability milestones.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it