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Record W2593798848 · doi:10.3390/pharmacy5010014

How Two Small Pharmacy Schools’ Competency Standards Compare with an International Competency Framework and How Well These Schools Prepare Students for International Placements

2017· article· en· W2593798848 on OpenAlexaffabout
John Hawboldt, Rosie Nash, Beverly FitzPatrick

Bibliographic record

VenuePharmacy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPharmacyCurriculumMedical educationMedicinePharmacy practicePolitical sciencePedagogyPsychologyNursing

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0040.003
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.089
GPT teacher head0.458
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2017
Admission routes2
Has abstractyes

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