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Record W2479984692 · doi:10.1016/s0275-4959(05)23008-9

‘Nothing happens in medical school that prepares you for working with anyone who's different:’ informal learning and socio-clinical knowledge amongst family physicians

2005· book-chapter· en· W2479984692 on OpenAlexaboutno aff
Eric Mykhalovskiy, Karen Farrell

Bibliographic record

VenueResearch in the sociology of health care · 2005
Typebook-chapter
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
FundersMinisterstvo Školství, Mládeže a Tělovýchovy
KeywordsReflexivityNova scotiaEthnographyContext (archaeology)Informal learningNothingPsychologyHealth careQualitative researchMedical educationPublic relationsPedagogySociologyMedicinePolitical scienceSocial scienceEpistemology

Abstract

fetched live from OpenAlex

This paper investigates the informal learning processes through which family physicians develop an understanding of the social context shaping the health of marginalized patients. The paper is based on the results of a qualitative study, informed by institutional ethnography, involving individual interviews with 10 family physicians working in and around Halifax, Nova Scotia, Canada. The analysis explores what knowledge of social context is for family physicians, emphasizing its hybrid, socio-clinical character. We also explore key aspects of the informal processes through which this knowledge is developed including learning about ‘the other,’ the reflexive unlearning of medical school training, and learning from clinical doing where we discuss patient-based epiphanies and learning from other health care providers.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.012
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.403
GPT teacher head0.535
Teacher spread0.132 · 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 designQualitative
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

Citations7
Published2005
Admission routes1
Has abstractyes

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