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“Even if I Don't Know What I'm Doing I Can Make It Look like I Know What I'm Doing”: Becoming a Doctor in the 1990s*

2001· article· fr· W2035404762 on OpenAlexaff
Brenda L. Beagan

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2001
Typearticle
Languagefr
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSocializationLesbianHumanitiesIdentity (music)PopulationSociologyPsychologyGender studiesSocial psychologyArtDemography

Abstract

fetched live from OpenAlex

Les processus de socialisation des médecins documentés dans Boys in White et d'autres textes classiques n'ont guère changé, 40 ans plus tard, malgré une population étudiante manifestement plus variée. La plus grande différence se trouve dans la façon dont les étudiants d'aujourdhui intègrent leur identité professionnelle naissante au moi établi avant l'école de médecine. L'identité professionnelle pourrait moins bien correspondre au moi quand les étudiants sont des femmes, plus âgés, de la classe ouvrière, homosexuels ou de groupes minoritaires. Pourtant, ces étudiants pourraient posséder une certaine capacité de résistance à la socialisation professionnelle. The processes of medical professional socialization documented in Boys in White and other classics remain remarkably unchanged 40 years later, despite a markedly more diverse student population. The greatest difference lies in how students today integrate their emerging professional identities with the selves they were before medical school. The professional identity may “fit” less easily when students are women, older, working‐class, gay or lesbian, or from visible minority groups. Yet these students may also enjoy a particular ability to resist professional socialization.

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)0.010
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0020.003
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 head0.040
GPT teacher head0.319
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations50
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicInnovations in Medical EducationFrench-language works237,207