International Mobility of Health Professionals and Health Workforce Management in Canada
Bibliographic record
Abstract
This report examines the role played by immigrant health workers in the Canadian health workforce but also the interactions between migration policies and education and health workforce management policies. Migrant health worker makes a significant contribution to the Canadian health workforce. Around 2005-06, more than 22% of the doctors were foreign-trained and 37% were foreign-born. The corresponding figures for nurses are close to 7.7% and 20%, respectively. Foreign-trained doctors play an important role in rural areas as they contribute to filling the gaps. In most rural areas, on average, 30% of the physicians were foreign-trained in 2004. Over past decades the evolution of the health workforce in Canada has been characterised notably by a sharp decline in the density of nurses and a stable density of doctors, which is in contrast with the trends observed in other OECD countries. This evolution is largely the result of measures were adopted at the end of the 1980s and early 1990s in order to address a perceived health workforce surplus.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".