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Record W7028151853

Devenir médecin généraliste : Et le bonheur, dans tout cela?

2007· article· fr· W7028151853 on OpenAlexaboutno aff

Bibliographic record

VenueDIAL (Catholic University of Leuven) · 2007
Typearticle
Languagefr
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Context (archaeology)Research methodology
DOInot available

Abstract

fetched live from OpenAlex

Deux récents articles attirent l’attention sur la désaffection croissante frappant la médecine\ngénérale au terme des études de médecine. Ce constat amer n’est guère isolé et une série de publications récentes soulignent la même tendance au Canada, dans le monde anglo-saxon ou dans divers pays de la\ncommunauté européenne. Les causes de cet abandon progressif et les incitants mis en place avec des succès\ndivers ont été suffisamment évoqués pour que nous n’y revenions pas. Cette lente érosion est-elle inéluctable? Nous ne le pensons pas, ayant partagé longuement les craintes, espoirs et enthousiasmes de bon nombre d’étudiants en médecine et ébauché avec eux une pédagogie innovante d’enseignement de la médecine de première ligne. Puisse notre modeste contribution apporter une touche de sérénité à un débat qui en a bien besoin

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.327
Teacher spread0.291 · 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 designNot applicable
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

Citations0
Published2007
Admission routes1
Has abstractyes

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