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Record W4384704809 · doi:10.7202/1099773ar

Psychothérapie à médiation artistique et psychanalyse : quel avenir ?

2023· article· fr· W4384704809 on OpenAlexvenueno aff
Josée Leclerc

Bibliographic record

VenueFiligrane Écoutes psychothérapiques · 2023
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPsychotherapistPsychology

Abstract

fetched live from OpenAlex

La réponse au nombre croissant de patients qui consultent pour des problématiques psychothérapeutiques sévères et pour qui la cure-type n’est pas indiquée aura pris la forme d’aménagements du dispositif-cadre de soin. Prendre en considération le cadre inscrit dans la transitionnalité proposé à ces patients permettra de réfléchir tant aux impacts que ces remaniements ne sont pas sans entrainer qu’au potentiel thérapeutique que ceux-ci présentent. On verra comment des approches psychanalytiques qui ne sont pas entièrement vectorisées par le langage, notamment la psychothérapie à médiation artistique, sont susceptibles, grâce à leur pouvoir d’objectivation et leur capacité à rendre figurable, de « faire apparaître [le] conflit au dehors, de manière à en permettre une introjection secondaire » (Baldacci, 2010). Il sera également question de reconnaître ce que le cadre thérapeutique réinventé doit aux patients eux-mêmes (Birot, 2018) et la disposition du psychothérapeute à l’instaurer, ce qui, dans le contexte de la médiation artistique, ne saurait advenir que par la prise en considération de la figurabilité de l’image dans sa double valence, à la fois matérielle et psychique.

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)0.027
metaresearch head score (Gemma)0.029
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: Other · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.045
Scholarly communication0.0180.020
Open science0.0020.013
Research integrity0.0060.017
Insufficient payload (model declined to judge)0.0110.003

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 head0.046
GPT teacher head0.408
Teacher spread0.362 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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