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Record W2153667640 · doi:10.7202/039286ar

Ce corps qui parle pour moi

2010· article· fr· W2153667640 on OpenAlexvenueno aff
Diane Aubin

Bibliographic record

VenueFiligrane Écoutes psychothérapiques · 2010
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La prise en compte du langage corporel, du non verbal et des réactions contre-transférentielles dans l’intervention et plus particulièrement en psychothérapie est une démarche reconnue quoique d’importance inégale selon les approches ou points de vue. En ce qui concerne l’abord des jeunes de la rue ou en grande difficulté, la lecture et l’écoute du langage du corps deviennent essentielles voire incontournables. En effet, celui-ci participe à l’articulation des formes de détresse et d’affirmation de ces jeunes, lesquelles peuvent susciter des réactions très intenses chez l’intervenant qui a comme projet d’aller à leur rencontre. Le travail en équipe et l’écoute de son propre corps deviennent pour l’intervenant des impératifs tout aussi incontournables afin de préserver sa propre vitalité et son intégrité psychique. Interroger le corps, le sien et celui de l’autre est donc au coeur de la clinique de la précarité et de l’addiction.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0430.008

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 head0.023
GPT teacher head0.351
Teacher spread0.328 · 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 designQualitative
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

Citations6
Published2010
Admission routes1
Has abstractyes

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