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Creative Professional Activity: An Additional Platform for Promotion of Faculty

2006· article· en· W2060787190 on OpenAlexaffabout
Wendy Levinson, Arthur I. Rothman, Eliot A. Phillipson

Bibliographic record

VenueAcademic Medicine · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPromotion (chess)Professional developmentMedical educationPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Academic promotion has traditionally been based on research and teaching, but faculty members' contributions to the profession may not be fully captured in those dimensions. Faculty members may influence the practice of medicine and improve the care of patients yet not obtain traditional measures of achievement through publications, grants, or teaching awards. With this problem in mind, at the University of Toronto Faculty of Medicine, the promotions committee developed and implemented a promotions criterion called Creative Professional Activity (CPA) to recognize and reward a variety of types of academic endeavors that have a demonstrable impact on medical practice and care. CPA comprises three activities: professional innovation, exemplary practice, and contributions to the development of the discipline. In this article, the authors define CPA, provide illustrative case examples, describe how faculty members document CPA, and report the use of this promotions criterion in the Department of Medicine over the last decade. The challenges of implementing CPA as a promotion criterion are described. CPA is consistent with the Department of Medicine's goal of achieving excellence through original research, education, or creative work that advances the care of patients.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.295
GPT teacher head0.531
Teacher spread0.236 · 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.

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

Citations20
Published2006
Admission routes2
Has abstractyes

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