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Record W3217765296 · doi:10.3917/psye.642.0003

La notion de l’enfant borderline-en-devenir à la lumière des recherches contemporaines

2021· article· fr· W3217765296 on OpenAlexaff
Olivier Didier, Miguel M. Terradas

Bibliographic record

VenueLa psychiatrie de l enfant · 2021
Typearticle
Languagefr
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsCentres Intégré Universitaires de Santé et de Services SociauxCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Le diagnostic d’un trouble de la personnalité limite dans l’enfance s’avère controversé. Dans une perspective développementale de la psychopathologie, Pine (1974, 1986) a proposé la notion de l’enfant borderline-en-devenir. Il suggère que ce dernier soit caractérisé par la survenue de traumas dans le contexte relationnel à la figure de soins, ce qui aurait altéré sa capacité à s’engager dans un développement normal et entraîné l’utilisation de mécanismes défensifs permettant d’assurer sa survie psychique. Les propositions de Pine trouvent des résonnances avec les écrits contemporains. Elles sont ainsi revisitées au travers des concepts tels que les traumatismes relationnels précoces et l’attachement. L’intégration des résultats empiriques issus des recherches scientifiques actuelles à la théorie de Pine permet de proposer un modèle explicatif de l’enfant borderline-en-devenir.

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)0.005
metaresearch head score (Gemma)0.012
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: Review · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.027
Scholarly communication0.0050.008
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.039
GPT teacher head0.400
Teacher spread0.360 · 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
GenreReview

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

Citations2
Published2021
Admission routes1
Has abstractyes

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