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Record W3217547567 · doi:10.3917/psye.642.0127

De l’auto-agressivité au masochisme moral chez les adolescents présentant des traits de personnalité limite

2021· article· fr· W3217547567 on OpenAlexaff
Eugénie Krakhmalnikova, Miguel M. Terradas

Bibliographic record

VenueLa psychiatrie de l enfant · 2021
Typearticle
Languagefr
FieldPsychology
TopicPersonality Disorders and Psychopathology
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
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Le trouble de personnalité limite (TPL) comprend divers symptômes sur le plan nosographique. L’agressivité physique et verbale ainsi que l’auto-agressivité physique et psychique occupent un rôle central au sein du TPL. Bien qu’il soit généralement diagnostiqué à l’âge adulte, il est possible d’observer de tels traits en émergence à l’adolescence. Cet article s’intéresse au sens que l’on peut attribuer à l’auto-agressivité chez les adolescents présentant des traits liés au TPL. Pour ce faire, les auteurs revisitent différentes théories et concepts psychanalytiques entourant le développement psychique et ses trajectoires possibles. Plus précisément, les concepts de la mère suffisamment bonne (Winnicott, 1969a/2006), des relations d’objet (Fairbairn, 1952 ; Kernberg, 1976, 1997 ; Klein, 1935), du self étranger (Fonagy & Target, 2000) et du masochisme moral (Nacht, 1965) sont explorés afin de réfléchir à la complexité des différentes facettes du TPL et de l’auto-agressivité prépondérante au sein de ce trouble.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.319
Teacher spread0.290 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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