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Record W2079592044 · doi:10.1080/15602210600911916

Promotion and tenure: Clinical faculty at schools of pharmacy in Canada

2006· article· en· W2079592044 on OpenAlexafffundabout
Zubin Austin, Paul Gregory

Bibliographic record

VenuePharmacy Education · 2006
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Toronto
FundersUniversity of Manitoba
KeywordsPromotion (chess)PharmacyPaceMedical educationPharmacy practiceClinical pharmacyPublic relationsMedicinePolitical scienceNursing

Abstract

fetched live from OpenAlex

As a result of an evolution in roles and responsibilities of pharmacists, pharmacy education in North America has become more clinical in nature. In order to meet teaching and research requirements, Canadian pharmacy schools are hiring non-traditional faculty members who possess advanced clinical degrees and training rather than traditional academic qualifications. Policies with respect to tenure and promotion have not kept pace with these changes in hiring practices. Research was undertaken to examine the application of tenure and promotion policies and guidelines to clinical pharmacy faculty members across Canada. Document review was complemented by key informant interviews. A series of themes emerged indicating areas of concern regarding application of traditional “arts and science ” tenuring/promotion policies for clinical pharmacy faculty members. Based on these themes, a model for development of guidelines to acknowledge the value and importance of creative scholarly activity within pharmacy (“the 5 C’s”) is proposed and discussed.

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)0.009
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0170.005
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.448
Teacher spread0.387 · 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.

Study designObservational
DomainIncentives
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

Citations5
Published2006
Admission routes3
Has abstractyes

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