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Record W1492535249

Development of a code of conduct for the Faculty of Pharmaceutical Sciences at the University of British Columbia

2015· article· en· W1492535249 on OpenAlexaffabout
Patricia Gerber, Brian E. Cairns, Peter J. Zed, Larry D. Lynd, Angela Kim-Sing, Sheryl Peterson, Janice Moshenko, Colleen Brady, Jason Penner

Bibliographic record

VenuePharmacy Education · 2015
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPharmacyCode of conductProcess (computing)Code (set theory)Professional conductMedical educationEngineering ethicsSociologyPsychologyEngineeringPolitical scienceMedicineComputer scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Much has been written in the literature about the process of inculcating professional values and behaviours in pharmacy students. Before exploring how to develop student professionalism, the attributes and behaviours that constitute professionalism must be defined. The Faculty of Pharmaceutical Sciences at the University of British Columbia (UBC) began by establishing a Professionalism Committee that undertook a rigorous process to develop an operational definition of professional conduct. With broad based input, a comprehensive Code of Conduct for members of the Faculty community, namely faculty, staff and students, was developed. The process to develop and adopt the Code, the challenges encountered along the way, and proposed next steps are 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)0.205
metaresearch head score (Gemma)0.307
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.995
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2050.307
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0130.006
Science and technology studies0.0130.008
Scholarly communication0.0150.007
Open science0.0040.009
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0040.004

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 head0.221
GPT teacher head0.463
Teacher spread0.242 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreMethods

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
Published2015
Admission routes2
Has abstractyes

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