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Achievement of non‐cognitive goals of undergraduate medical education: perceptions of medical students, residents, faculty and other health professionals

2004· article· en· W2116359062 on OpenAlexaff
Karen Mann, John Ruedy, Noreen Millar, Pantelis Andreou

Bibliographic record

VenueMedical Education · 2004
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedical educationPerceptionCognitionPsychologyHealth professionalsMedicineHealth carePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Professionalism is increasingly emphasised in medical education. Non-cognitive goals, including values, attitudes and skills, remain challenging to define and measure. The purpose of this study was to better understand these goals and their achievement in the MD programme. METHODS: Graduating medical students, faculty preceptors, residents and other health professionals (OHPs) completed a systematically developed mailed survey, rating achievement of 25 attribute statements. Following analyses of means and standard deviations, factor analysis of responses was conducted. Responses were compared across respondent groups. RESULTS: The overall response rate was 50.1% (191/396), comprising 57.5% of the students, 54.1% of the faculty members, 30.9% of the residents and 50% of the OHPs. Five items received mean ratings over 4/5; none were below 3/5. Five factors explained 65% of variance. They were: 'Teamwork and interprofessional skills'; 'Duty and responsibility'; 'Communication and interpersonal skills'; 'Professionalism and values', and 'Trustworthiness and ethical behaviour'. The groups differed significantly on 2 factors: Teamwork and interprofessional skills (P < or = 0.0001) and Communication and interpersonal skills (P < or = 0.001). CONCLUSIONS: Important curriculum goals received high mean ratings. Ratings differed significantly across groups, suggesting differing perceptions of the extent to which goals were met. More study is needed to understand the basis of these perceptions.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.461
Teacher spread0.438 · 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 designObservational
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

Citations45
Published2004
Admission routes1
Has abstractyes

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