The relationship between pharmacy licensing policies on clinical training (CT) and success rates for international pharmacists (IPs) within Canada, United Kingdom, and the United States: A comparative policy analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: In October 2018, the Pharmacy Examining Board of Canada released a report showing that only 41.1% of international pharmacists pass the Pharmacy Qualifying Examination, compared to 91% of Canadian graduates. When compared to the United Kingdom and United States, Canada has the lowest success rates for the integration of international pharmacists. Aim: This study aims to address two questions: What are the professional pharmacy policies governing the clinical training resources for international pharmacists within their host country? What can Canada learn from other Western countries to facilitate the integration of international pharmacists? Method: A comparative policy analysis was used to draw comparisons between Canada’s regulatory policies governing the pharmacy license to other similar models in the United Kingdom and United States. Results: Upon examining current integration systems in these countries, differences in training period requirements and competencies became apparent. Therefore, the findings suggest that Canadian stakeholders can learn from other models’ legislation, structure, and clinical outcome prospects.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it