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Record W2163075393 · doi:10.7202/502095ar

Le trouble limite du soi : l’approche de Masterson

2008· article· fr· W2163075393 on OpenAlexvenueno aff
Candace Orcutt

Bibliographic record

VenueSanté mentale au Québec · 2008
Typearticle
Languagefr
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanitiesMedicineGynecology

Abstract

fetched live from OpenAlex

La pathologie de l'état limite (borderline) est un défi pour le champ de la santé mentale à cause de sa dynamique complexe et des difficultés de traitement. James F. Masterson est un leader et un pionnier dans le diagnostic et le traitement du trouble limite du soi (borderline disorder of the self). Son travail est basé sur 30 ans d'expérience clinique et de recherches intensives intégrées à une synthèse des plus importants concepts psychodynamiques incluant la théorie du développement, la relation d'objet et les concepts du soi. Sa théorie spécifique et sa technique psychothérapeutique se sont avérées particulièrement efficaces dans la compréhension et le traitement de ce syndrome controversé qui est au centre des préoccupations psychothérapeutiques.

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)0.010
metaresearch head score (Gemma)0.016
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: Empirical · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.012
Scholarly communication0.0060.006
Open science0.0030.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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
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
Published2008
Admission routes1
Has abstractyes

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