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Record W2314666973 · doi:10.1080/17449642.2016.1145496

The overlapping spheres of medical professionalism and medical ethics: a conceptual inquiry

2016· article· en· W2314666973 on OpenAlexaff
Claudia W. Ruitenberg

Bibliographic record

VenueEthics and Education · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedical ethicsApplied ethicsInformation ethicsNursing ethicsEngineering ethicsMeta-ethicsNormative ethicsConstruct (python library)Relation (database)Military medical ethicsProfessional ethicsSociologyEthics of technologyPedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This essay examines the concepts of ‘professionalism’ and ‘ethics’ as they are used in health professions education and, in particular, medical education. It proposes that, in order to make sense of the construct of ‘professional ethics,’ it would be helpful to conceive of professionalism and ethics as overlapping but not identical spheres. By allowing for areas of professionalism that are not directly pertinent to ethics, and areas of ethics that are not directly pertinent to the professional sphere, ‘professional ethics’ as a focus of medical education can come into sharper relief. The essay argues that professional ethics should be understood not only in relation to major ethical issues such as end-of-life decisions, but also in relation to everyday actions and decisions. The essay ends by raising questions about how and by whom professional ethics is best taught.

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)0.028
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0150.147
Scholarly communication0.0220.030
Open science0.0030.022
Research integrity0.0120.012
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 head0.283
GPT teacher head0.581
Teacher spread0.299 · 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 designTheoretical or conceptual
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

Citations8
Published2016
Admission routes1
Has abstractyes

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