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The Challenge of Teaching Professionalism

2004· article· en· W2169281397 on OpenAlexaffabout
Gilles Beauchamp

Bibliographic record

VenueAnnals of the Academy of Medicine Singapore · 2004
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineObligationMedical professionQuarter (Canadian coin)Theme (computing)AccountabilityHappeningHealth professionalsMedical educationHealth carePublic relationsNursingLawPolitical science

Abstract

fetched live from OpenAlex

The medical profession has been conscious of all the changes happening in society in the last quarter of the 20th century and has tried to cope with it. Numerous criticisms about the profession and its professionals have stimulated a revision of the professional's behaviour and professionalism. The Royal College of Physicians and Surgeons of Canada has launched its own proposal under the name of CanMEDS 2000. Among the revised roles and competences one find professionalism. This theme is at the heart of our profession since the early days of the 20th century when medicine became a modern profession. Responsibility for the patient remains fundamental for any doctor but, today, society expects more accountability from the medical profession. We have the obligation to educate our residents not only for healing and caring of patients but also for active participation in managing the healthcare system. In this paper, we examine this renewed post-modern professionalism. My intention is to propose a visual approach for the teaching of professionalism.

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)0.022
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0110.088
Scholarly communication0.0200.016
Open science0.0020.009
Research integrity0.0080.019
Insufficient payload (model declined to judge)0.0040.002

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 head0.131
GPT teacher head0.453
Teacher spread0.322 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations35
Published2004
Admission routes2
Has abstractyes

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