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Record W2004986123 · doi:10.7202/1012130ar

Enquête qualitative sur la prise de décision en obstétrique : le choix du mode d’accouchement après césarienne

2012· article· fr· W2004986123 on OpenAlexafffundvenue
Marylène Dugas, Nils Chaillet

Bibliographic record

VenueReflets Revue d’intervention sociale et communautaire · 2012
Typearticle
Languagefr
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health Research
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

En obstétrique, la médecine offre différentes options pour améliorer les résultats de santé. Ces possibilités représentent autant de prises de décision auxquelles sont confrontés les patients. Afin de procéder au choix des soins, le modèle de partage de la décision médicale constitue actuellement le principal paradigme. Prenant pour exemple le processus de décision concernant le mode d’accouchement après césarienne, nous explorons quelques aspects du processus de prise de décision en obstétrique. De façon générale, la prise de décision concernant le mode d’accouchement après césarienne relève davantage du principe d’autonomie que du partage d’information. Les consultations individuelles ou de groupe, ou encore les outils d’analyse décisionnelle semblent prometteurs pour gérer les différentes problématiques rencontrées.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.417
Teacher spread0.355 · 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

Citations1
Published2012
Admission routes3
Has abstractyes

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