Bibliographic record
Abstract
In 2002, 80 % of Canadians believed that there was ashortage of “family doctors, ” and 97 % of these peoplebelieved that the shortage was serious.1 These percep-tions are amplified within the physician workforce itself, with 93 % of physicians surveyed in the same year believing that shortages among their ranks were widespread.2 Para-doxically, current perceptions of shortages and suggestions to fast-track increases in supply3,4 come close on the heels of widespread perceptions of surpluses, at least in urban cen-tres, and reductions in medical school enrolment only 10 years ago. For example, in 1993, a Canadian Medical Asso-ciation survey found that half of the doctors in the country believed enrolment in medical schools should be reduced.5 Such relatively quick shifts from perceptions of surpluses to ones of shortages are at odds with recent national data indi-cating that the per capita number of FPs has remained rela-tively stable over the last decade.6,7
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.170 | 0.046 |
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".