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Record W3204210426 · doi:10.1051/ppsy/2021602115

Traumatismes relationnels précoces et traumatophilie à l’adolescence

2021· article· fr· W3204210426 on OpenAlexaff
Didier Drieu, Miguel M. Terradas, Marjorie Roques, Teresa Rebelo

Bibliographic record

VenuePerspectives Psy · 2021
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesGynecologyPolitical scienceMedicineArt

Abstract

fetched live from OpenAlex

Cet article discute des origines des troubles des conduites et des vulnérabilités à l’adolescence en mettant en lien ceux-ci avec la prégnance de traumatismes relationnels précoces qui vont interférer dans la construction de la capacité de mentalisation et les processus d’appropriation subjective. À l’adolescence, ces traumas d’origine hétérogène sur un plan psychique, se retrouvent sous la forme de tendances traumatophiliques. Outre la nécessité de considérer l’adolescent dans ses niveaux de fonctionnements ou capacité de mentalisation, les auteurs soulignent l’importance d’un dispositif de soins qui prenne en compte les origines hétérogènes du trauma, c’est-à-dire les conflits internes chez l’adolescent mais aussi les violences intersubjectives, voire transubjectives liées à l’environnement.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.051
GPT teacher head0.403
Teacher spread0.352 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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