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Record W3211451627

Characteristics of psychic functioning among domestic violence perpetrators. Abandonment in question

2017· article· en· W3211451627 on OpenAlexaboutno aff
Christelle Ferraty-Giacardi, Alexia Delbreil

Bibliographic record

VenuePerspectives Psy · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La violence conjugale est un enjeu majeur de sante publique en France. Parmi les elements entrant en ligne de compte dans l’emergence de ce type de violence, apparaissent des facteurs de risque d’ordre biologique, sociaux mais egalement psychologiques. De nombreuses etudes scientifiques, en particulier canadiennes, ont mis en evidence une preponderance d’un attachement de type insecure chez les auteurs de violences conjugales. D’un point de vue plus psychanalytique, ces individus, le plus souvent des hommes, sont souvent confrontes a une dependance affective vis-a-vis des femmes. La dynamique du passage a l’acte, declenchee par l’angoisse de perte d’objet et la confrontation au manque, intervient alors dans une tentative de reparer des blessures interieures non cicatrisees. Si l’on se situe dans cette perspective, la mise en place d’une psychotherapie individuelle axee sur cette problematique peut presenter un interet et faire partie integrante de la prise en charge de ces sujets.

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)0.000
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.369
Teacher spread0.350 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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