Australia's first rural medical school prepares to graduate first MDs.
Bibliographic record
Abstract
Nearly 80% of family doctors in New Brunswick and 78% in Nova Scotia are no longer routinely accepting new patients, the 2001 National Family Physician Workforce Survey indicates. Both figures, the highest in the country, are more than 10 percentage points higher than the national average. The survey, which had a response rate of 51% (14 319 respondents), was conducted by the College of Family Physicians of Canada. Dr. Les Allaby, president of the New Brunswick Medical Society, isn't surprised by the results. He says New Brunswick has always had one of Canada's highest patient-to-physician ratios, and provincial legislation that limited billing numbers for several years has discouraged new doctors from setting up practices. “New Brunswick has a reputation as being closed [to doctors],” he said. The province is trying to change that image by hiring a provincial recruiter, something Nova Scotia did several years ago, and it has also set its sights on future graduates by increasing the number of French-language medical seats it funds at the University of Sherbrooke in Quebec from 20 to 25. Thirty seats are already sponsored at English-speaking medical schools. Allaby says the province needs to fund at least 10 more seats in both French and English medical schools. In Nova Scotia, meanwhile, efforts to increase the number of medical students have failed. Dalhousie University had proposed increase from 82 to 90 first-year students, but the province rejected the recommendation.
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How this classification was reachedexpand
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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; both teacher heads agree on what is shown here.
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".