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Record W2974797203 · doi:10.3917/aatc.168.0031

Honneur à l’ambivalence

2019· article· fr· W2974797203 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0040.009
Science and technology studies0.0020.001
Scholarly communication0.0010.004
Open science0.0030.000
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.2920.027

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