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Defining professionalism in anaesthesiology

2005· article· en· W2048090307 on OpenAlexaffabout
Ramona A. Kearney

Bibliographic record

VenueMedical Education · 2005
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDelphi methodMedical educationMedicineHumanismAnesthesiologyDelphiPsychologyAnesthesiaPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The Royal College of Physicians and Surgeons of Canada, through the CanMEDS 2000 project has identified the role of professional as 1 of 7 roles for which physicians are expected to be accountable when dealing with patients. Each specialty is responsible for defining this role relative to their specialty. METHODS: The qualities of professionalism for anaesthesiology were defined through a Delphi process involving Canadian anaesthesiology educators. The panellists took part in 3 rounds that identified qualities in 3 distinct areas of professionalism - humanistic qualities, personal development qualities and anaesthesiology meta-competences. RESULTS: A total of 23 of 29 anaesthesiologists responded (79%) in round 1, with response rates to rounds 2 and 3 being 72% and 69%, respectively. Of the original 36 qualities, some were combined, definitions were changed in 23, 11 qualities were added and 4 were deleted, leaving a list of 40 qualities. DISCUSSION: There is considerable interest in this issue among the Canadian educators in postgraduate anaesthesiology. Consensus on important professional qualities for anaesthesiologists was obtained through the Delphi technique. These qualities will form the basis of identifiable professional behaviours to which anaesthesiologists should aspire.

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)0.001
metaresearch head score (Gemma)0.005
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.392
Teacher spread0.377 · 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 designOther design
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

Citations71
Published2005
Admission routes2
Has abstractyes

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