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Record W3132698698 · doi:10.32674/jcihe.v12i6s1.3069

Pharmacy Education in Emerging Health Care Systems

2021· article· en· W3132698698 on OpenAlexaffabout
Amad Al-Azzawi

Bibliographic record

VenueJournal of Comparative & International Higher Education · 2021
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsInstitute for Christian Studies
FundersCenter for Cosmology and Astroparticle Physics, Ohio State University
KeywordsPharmacyPharmacy practiceScope (computer science)Scope of practiceClinical pharmacyHealth careMedicinePharmacy educationMedical educationHealthcare systemPolitical sciencePublic relationsNursingComputer science

Abstract

fetched live from OpenAlex

Fundamental global shifts in the professional scope of pharmacy practice have altered the pharmacists’ role from “drug-centered” to “patient-centered”. This shift has important implications for how pharmacy education is provided around the world, and has necessitated a significant increase in clinical training (CT). Canada and the United States have both added emphasis on CT in their pharmacy education programs, and their CT models have become a global model of good practice for educating future pharmacists. I want to answer important implementation-related questions: How have new pharmacists’ clinical training policies been implemented in the UAE? What are the major challenges, barriers to effective implementation? I will examine the UAE as a case study of policy borrowing, and will draw on the concept of decoupling, which examines the implementation and gap between policy and practice. I will use a case study approach to understand the power relations between the main actors influencing CT in the UAE.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.170
GPT teacher head0.549
Teacher spread0.379 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2021
Admission routes2
Has abstractyes

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