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Record W3043215722 · doi:10.3917/nrea.002.0137

Et pourquoi un pédopsychiatre seul, ça n’existerait pas ?

2020· article· fr· W3043215722 on OpenAlexaboutno aff
Anaïs Fadugba, David Frayssé

Bibliographic record

VenueNouvelle Revue de l enfance et de l adolescence · 2020
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La première partie de l’article décrit l’approche originale de La Métis - Rencontres 93, structure née de la rencontre entre l’éducation populaire et la psychanalyse. Elle prend en charge, en milieu ouvert, des mineurs. Chacun fait l’objet d’une prise en charge personnalisée par une série d’acteurs : famille d’accueil, psychologues, éducateurs, et, ce qui est original, « accordeurs ». Les soins psychiatriques, quand ils sont nécessaires, sont prodigués en-dehors de la structure, ce qui sanctuarise le lien thérapeutique. La structure continue de jouer son rôle d’accompagnement du jeune lors des hospitalisations. La seconde partie présente un outil original mis en place par les psychologues de La Métis - Rencontres 93. La structure qui accueille les mineurs se voit transmettre leur dossier, dont l’expérience prouve qu’il est très incomplet, voire erroné. Les résultats de cette collection de données provenant de diverses sources, sociales, psychologiques, médicales, judiciaires, etc. en termes d’évitement de doublons dans la prise en charge et de prévention / traitement d’épisodes massifs sont positifs. Ils montrent l’importance d’un dialogue entre professionnels appartenant à des champs et des institutions différents, fournissant une nouvelle preuve « qu’un pédopsychiatre seul, ça n’existe pas. »

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)0.004
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.010
Scholarly communication0.0080.013
Open science0.0010.004
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0130.003

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 head0.042
GPT teacher head0.376
Teacher spread0.334 · 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 designNot applicable
Domainnot available
GenreCommentary

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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