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Record W4294086411 · doi:10.1093/ijpp/riac065

Pharmacy postgraduate education transformation: pharmacist preferences for microcredentials

2022· article· en· W4294086411 on OpenAlexaff
Carlo A. Marra, Ina Donat, Michaela Lee, Hanne Roberti, Tim Sue, Martin Au, Denise Lam, Kyle John Wilby

Bibliographic record

VenueInternational Journal of Pharmacy Practice · 2022
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicinePharmacyPharmacistCredentialingPharmacy practiceMedical educationPharmacy educationFamily medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: To explore micro-credentialing for postgraduate study in pharmacy practice. METHODS: An online survey of practicing or intern pharmacists in New Zealand was designed to identify learner preferences for education, determine interest and demand for microcredentials and elicit preferred 'willingness-to-pay' thresholds. KEY FINDINGS: A total of 430 responses were obtained. A stacked microcredential programme was preferred by 88% over traditional courses. Interest, skill development and career development were the top-ranked aspects. Participants favoured the lowest cost option ($300 NZD per microcredential). CONCLUSIONS: Pharmacists in New Zealand are supportive of microcredentials for postgraduate study as an alternative to traditional programmes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.075
GPT teacher head0.482
Teacher spread0.407 · 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 designNot applicable
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

Citations6
Published2022
Admission routes1
Has abstractyes

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