Issues in physician resources planning in B. C. : key determinants of supply and distribution, 1991-96 : a report to the post-graduate medical education advisory committee
Bibliographic record
Abstract
At the request of the Post Graduate Medical Education (PGME) Advisory Committee of British Columbia, this project was undertaken to describe the supply and distribution of physicians in British Columbia, including that of general practitioners/family physicians and specialists certified by the Royal College of Physicians and Surgeons of Canada (RCPSC). To meet this objective, the study had four specific aims: (1) to describe the supply and distribution of physicians in B.C. in 1991/92 and 1996/97 by region, sex, age, specialty and place of medical education; (2) to examine differences in the ‘scope of practice’ among B.C. physicians in relation to their specialty, geographic location, demographics, practice intensity, and place of medical education; (3) to examine the stability of the physician workforce in B.C. between 1991/92 and 1996/97 by sociodemographics, specialty and place of medical education; and (a) to examine how physicians' intensity of practice relates to the professional life cycle. The study did not examine issues relating to the appropriateness of the physician supply in relation to population health needs or demand for care.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".