How Two Small Pharmacy Schools’ Competency Standards Compare with an International Competency Framework and How Well These Schools Prepare Students for International Placements
Bibliographic record
Abstract
International standards of pharmacy curricula are necessary to ensure student readiness for international placements. This paper explores whether curricula from two pharmacy programs, in Australia and Canada, are congruent with international standards and if students feel prepared for international placements. Nationally prescribed educational standards for the two schools were compared to each other and then against the International Pharmaceutical Federation (FIP) Global Competency Framework. Written student reflections complemented this analysis. Mapping results suggested substantial agreement between the FIP framework and Australia and Canada, with two gaps being identified. Moreover, the students felt their programs prepared them for their international placements. Despite differences in countries, pharmacy programs, and health-systems all students acclimatized to their new practice sites. Implications are that if pharmacy programs align well with FIP, pharmacists should be able to integrate and practise in other jurisdictions that also align with the FIP. This has implications for the mobility of pharmacy practitioners to countries not of their origin of training.
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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 | 0.008 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 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".