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Record W2974797203 · doi:10.3917/aatc.168.0031

Honneur à l’ambivalence

2019· article· fr· W2974797203 on OpenAlexaff
Marco Mazzetti, Brigitte Évrard

Bibliographic record

VenueActualités en analyse transactionnelle/Actualités en analyse transactionnelle · 2019
Typearticle
Languagefr
FieldPsychology
TopicTransactional Analysis in Psychotherapy
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsAmbivalenceHumanitiesPhilosophyPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

À l’aide d’un cas clinique, l’auteur décrit l’expérience phénoménologique de l’ambivalence dans le contexte thérapeutique et discute de son traitement en cinq étapes : (1) reconnaître et légitimer l’ambivalence ; (2) distinguer l’incertitude de la confusion ; (3) accepter l’ambivalence, s’abstenir de la résoudre immédiatement ; (4) analyser avec respect les deux pôles de l’ambivalence ; et (5) reconnaître leur unité fondamentale car les deux pôles constituent généralement les deux faces d’un même désir de bien-être. L’étude de cas montre comment traiter non seulement l’ambivalence du patient, mais aussi celle du thérapeute. Le modèle d’intervention décrit montre son utilité pour comprendre à la fois la dynamique de transfert et la dynamique de contre-transfert de la dyade thérapeutique. L’auteur envisage les précautions nécessaires pour mener à bien le processus analytique ainsi que l’utilité de la neutralité empathique à l’égard des deux pôles de l’ambivalence.

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)0.008
metaresearch head score (Gemma)0.025
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: Editorial · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.022
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0030.007
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 head0.016
GPT teacher head0.320
Teacher spread0.304 · 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
GenreEditorial

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
Published2019
Admission routes1
Has abstractyes

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