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Record W2900539601 · doi:10.3917/ep.079.0118

Vers un modèle intégré de l’Approche famille-partenaire auprès des enfants ayant un trouble neurodéveloppemental

2018· article· fr· W2900539601 on OpenAlexaff
Angela Fragasso, Marie‐Pascale Pomey, Emmanuelle Careau

Bibliographic record

VenueEnfances & Psy · 2018
Typearticle
Languagefr
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversité LavalUniversité de MontréalCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleCentres Intégré Universitaires de Santé et de Services SociauxCegep de La Pocatiere
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Les troubles neurodéveloppementaux ( tnd ) sont de plus en plus abordés comme étant une problématique chronique de santé. Pour conjuguer avec les défis associés à la chronicité, le mouvement actuel usager-partenaire est considéré comme une piste d’action prometteuse et humaniste en santé. Pour les jeunes ayant un tnd , la reconnaissance du rôle central des parents amène à suivre ce mouvement en abordant l’approche famille-partenaire ( afp ). Cette approche s’inscrit en continuité avec les écrits qui associent la collaboration parent-intervenant à des retombées positives, mais qui relèvent des écueils importants pour une mise en œuvre réelle. Cet article propose un modèle intégrateur basé sur les résultats d’une étude qui vise à explorer la perspective des parents, des professionnels de la santé et des gestionnaires en regard de l’ afp afin d’identifier des lignes directrices jetant les bases d’une approche au partenariat avec les familles dans les soins et les services offerts aux enfants ayant un tnd .

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.064
GPT teacher head0.363
Teacher spread0.299 · 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 designObservational
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

Citations4
Published2018
Admission routes1
Has abstractyes

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