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Record W3098916237

Les troubles des conduites alimentaires : Du diagnostic aux traitements

2020· book· fr· W3098916237 on OpenAlexaboutno aff
Annie Aimé, Christophe Maïano

Bibliographic record

VenuePresses de l'Université de Montréal PUM eBooks · 2020
Typebook
Languagefr
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Cet ouvrage, qui fait appel a une soixantaine de specialistes canadiens et europeens − medecins, psychiatres, psychoeducateurs, nutritionnistes, kinesiologues et professeurs-chercheurs −, decrit de facon approfondie les caracteristiques cles des troubles des conduites alimentaires (TCA) en s’appuyant sur les informations les plus recentes et les donnees les plus actuelles. Il dresse un panorama exhaustif des problemes de sante mentale les plus frequemment associes aux TCA, et passe en revue l’anxiete, les obsessions ou les compulsions en plus de s’interesser a l’obesite, a l’anorexie et aux dependances de toutes sortes. Qui sont les gens les plus a risque d’etre atteints de TCA ? Les femmes, bien sur, mais aussi les hommes, les enfants, les sportifs, les victimes de maltraitance durant l’enfance, ceux qui ont une deficience intellectuelle ou des troubles du spectre de l’autisme. Dans ce livre, on examine les particularites des evaluations medicales, nutritionnelles et psychosociales et on presente en detail des interventions efficaces, allant de la therapie cognitive-comportementale a l’alimentation intuitive en passant par les therapies corporelles ou familiales centrees sur les emotions. Enfin, l’accompagnement des personnes atteintes de TCA en hopital de jour, en hospitalisation ou en externe est passe a la loupe pour offrir le portrait le plus complet a jour des ressources accessibles.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.235
Teacher spread0.207 · 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
Published2020
Admission routes1
Has abstractyes

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