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Record W4206160991 · doi:10.7202/1084066ar

Méthodologie du récit partagé : une pragmatique de l’attention

2021· article· fr· W4206160991 on OpenAlexvenueno aff
Anne France Hardy, Jérôme Éneau

Bibliographic record

VenueRecherches qualitatives · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophySociology

Abstract

fetched live from OpenAlex

Dans la continuité d’une thèse interrogeant la problématique de l’éducation à la santé, cet article s’intéresse aux enjeux pragmatiques d’une méthode coopérative comme soutien aux capacités d’autonomisation que suggère le développement des compétences psychosociales sous-jacent à celui de la santé réflexive. Construit selon les principes de la théorie ancrée, le raisonnement articule les postulats épistémologiques de la médecine narrative à l’expérience éthique et concrète du care pour revenir sur les potentialités d’un récit adressé au soin de soi. Le choix d’une méthode « relationnelle », à partir de données coopératives, souligne le besoin d’élargir le recueil à l’expression des dimensions sensibles et affirme l’attention que requiert le travail de la narration. Les résultats de l’enquête mettent en avant la nécessité de faire dialoguer les discours normatifs aux singularités de l’expérience. Ainsi mis en cohérence, les vécus se mêlent aux questions socialement vives que promeut la mise en place du parcours éducatif en santé et suggèrent, dans la perspective du soin d’ouvrir la connaissance de soi à d’autres rationalités.

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)0.035
metaresearch head score (Gemma)0.055
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.583
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.811
GPT teacher head0.630
Teacher spread0.181 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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