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Record W2033174255 · doi:10.1177/171516350613900608

Entry-Level PharmD Degree Programs in Canada: Some Facts and Stakeholder Opinions

2006· article· en· W2033174255 on OpenAlexvenueaboutno aff
Tamar Koleba, Judith Marin, Peter J. Jewesson

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2006
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacyLicensureProfessional degreeDegree programStakeholderDegree (music)CurriculumPolitical scienceBaccalaureate DegreeMedical educationFace (sociological concept)MedicinePublic relationsHigher educationSociologySocial scienceLaw

Abstract

fetched live from OpenAlex

The face of pharmacy education in Canada is about to change radically with the initiation of the first entry-level PharmD (ELPD) degree program in the country. The University of Montreal is planning to replace its 4-year baccalaureate degree program in pharmacy with a 4-year ELPD degree program as its sole professional practice degree for pharmacy, starting as early as fall 2007. Laval University has announced similar intentions and expects to initiate a program as early as 2008. The Universities of Toronto, Alberta, and British Columbia are reported to have ELPD degree programs under consideration, while the remaining 4 faculties of pharmacy across Canada appear to have no immediate plans for conversion. As we move toward a potential nation-wide modification of our entry-to-licensure requirement, a summary of existing programs in Canada and the United States, a preview of some of the characteristics of the University of Montreal's ELPD degree program, and some stakeholder opinions about the merits of such a curriculum conversion are warranted.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.708

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0120.004
Scholarly communication0.0050.002
Open science0.0030.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.319
GPT teacher head0.332
Teacher spread0.013 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2006
Admission routes2
Has abstractyes

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Same venueCanadian Pharmacists Journal / Revue des Pharmaciens du CanadaSame topicPharmaceutical Practices and Patient OutcomesFrench-language works237,207