Outcomes of the Northern Ontario School of Medicine's distributed medical education programmes: protocol for a longitudinal comparative multicohort study
Bibliographic record
Abstract
INTRODUCTION: The Northern Ontario School of Medicine (NOSM) has a social accountability mandate to serve the healthcare needs of the people of Northern Ontario, Canada. A multiyear, multimethod tracking study of medical students and postgraduate residents is being conducted by the Centre for Rural and Northern Health Research (CRaNHR) in conjunction with NOSM starting in 2005 when NOSM first enrolled students. The objective is to understand how NOSM's selection criteria and medical education programmes set in rural and northern communities affect early career decision-making by physicians with respect to their choice of medical discipline, practice location, medical services and procedures, inclusion of medically underserved patient populations and practice structure. METHODS AND ANALYSIS: This prospective comparative longitudinal study follows multiple cohorts from entry into medical education programmes at the undergraduate (UG) level (56-64 students per year at NOSM) or postgraduate (PG) level (40-60 residents per year at NOSM, including UGs from other medical schools and 30-40 NOSM UGs who go to other schools for their residency training) and continues at least 5 years into independent practice. The study compares learners who experience NOSM UG and NOSM PG education with those who experience NOSM UG education alone or NOSM PG education alone. Within these groups, the study also compares learners in family medicine with those in other specialties. Data will be analysed using descriptive statistics, χ(2) tests, logistic regression, and hierarchical log-linear models. ETHICS AND DISSEMINATION: Ethical approval was granted by the Research Ethics Boards of Laurentian University (REB #2010-08-03 and #2012-01-09) and Lakehead University (REB #031 11-12 Romeo File #1462056). Results will be published in peer-reviewed scientific journals, presented at one or more scientific conferences, and shared with policymakers and decision-makers and the public through 4-page research summaries and social media such as Twitter (@CRaNHR, @NOSM) or Facebook.
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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 | 0.039 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 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".