MétaCan
Menu
Back to cohort
Record W252277011 · doi:10.4000/lidil.3103

La stagiaire sage-femme devant sa cliente : un double rapport au savoir

2011· article· fr· W252277011 on OpenAlexaffabout
Marty Laforest

Bibliographic record

VenueLidil · 2011
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSAGEHumanitiesPolitical scienceGynecologyPhilosophyPsychologyMedicinePhysics

Abstract

fetched live from OpenAlex

Un double statut d’étudiant et d’expert caractérise la situation du stagiaire. Posant l’hypothèse que la tension qui s’exerce entre ces deux statuts est repérable dans le discours, nous avons analysé, dans une perspective interactionniste, le discours de deux stagiaires sages-femmes québécoises lors de consultations de suivi prénatal. Un double rapport au savoir acquis et à transmettre apparait, qui est étroitement lié à l’histoire récente de la profession de sage-femme au Québec. Les sages-femmes québécoises fondent leur identité professionnelle sur un ensemble de valeurs distinctives, parmi lesquelles le partage du savoir médical avec la cliente occupe une grande place. L’analyse montre l’adhésion de la stagiaire à cette valeur ; en cela, elle est déjà sage-femme. Mais le partage du savoir suppose une évaluation de la pertinence des informations à transmettre. Sur ce plan, la stagiaire reste une étudiante et doit encore acquérir un élément important de l’expertise : la souplesse dans le maniement de ce savoir.

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)0.007
metaresearch head score (Gemma)0.012
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 score0.383
Threshold uncertainty score0.762

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0290.027
Scholarly communication0.0070.003
Open science0.0010.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.284
GPT teacher head0.434
Teacher spread0.150 · 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

Citations1
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueLidilSame topicHealthcare Systems and PracticesFrench-language works237,207