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Record W7132968967

First year pharmacy and medical students' expectations of the role of pharmacists

2006· dissertation· W7132968967 on OpenAlexfundaboutno aff
Christine Tania Davidian

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
FundersOntario College of Pharmacists
KeywordsPharmacyPharmacy educationPharmacy practiceScale (ratio)Rote learningClinical pharmacy
DOInot available

Abstract

fetched live from OpenAlex

Conclusion. Expectations towards the rote of pharmacists was higher among ail pharmacy students, female pharmacy students and students exposed to the pharmacy profession. No relationship was found between age and years of university. Context. Medical and pharmacy students are in the process of learning their respective roles in health care. Purpose. To measure first year University of Toronto pharmacy and medical students' expectations of the rote of pharmacists. Design, setting, and participants. A 24-item self-administered cross-sectional questionnaire survey on a Likert-type scale was administered to 120 pharmacy and 140 medical students in their first year. Methods. A previous survey was modified to determine the level of agreement with statements on the expectations of the rote of pharmacists. Exposure to the pharmacy profession, age, sex and years of undergraduate education was also measured. Results. Total expectation score for pharmacy students (59.5+/-5.2) was significantly higher (p le;0.01) than medical students' score (52.6+/-6.4).

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.495
Teacher spread0.419 · 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 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

Citations0
Published2006
Admission routes2
Has abstractyes

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