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Record W2320005121 · doi:10.3917/rep.009.0132

Quelques préalables théorico-cliniques à la conceptualisation lacanienne des suppléances

2010· article· fr· W2320005121 on OpenAlexaff
Éléonore Galiana-Mingot

Bibliographic record

VenueRecherches en psychanalyse · 2010
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsSte. Anne's Hospital
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cette présentation approfondie des travaux d’Helene Deutsch et de Moritz Katan met en lumière l’étayage que les entités théorico-cliniques de « comme si » et de « prépsychose », respectivement élaborées par ces auteurs, semblent avoir fourni à la conceptualisation ultérieure, par Lacan, de la notion de « suppléance » : en l’occurrence, les diagnostics de psychose que la première n’a pas manqué de poser derrière des tableaux cliniques « d’apparence normale » et le repérage subséquent par le second, chez des sujets non déclenchés, de tentatives prépsychotiques de « suppléer » à l’absence de triangulation œdipienne. L’appréhension des structures psychotiques non déclenchées ouvre en particulier la question du rôle des identifications (non introjectives) chez des sujets parvenant à maintenir stable un édifice psychique pourtant fragile, pendant une période parfois considérablement longue et/ou en dépit d’une conjoncture propice au déclenchement. La mise en correspondance des notions de « comme si », prépsychose, compensation et suppléance (en l’occurrence imaginaire) contribue, au-delà du dégagement de points de recouvrement et de divergences théoriques, à l’esquisse de perspectives thérapeutiques. Ces dernières visent à aider le sujet à échafauder un dispositif lui permettant d’enrayer le déploiement de sa psychose.

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 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)0.014
metaresearch head score (Gemma)0.001
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 categoriesResearch 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: Empirical
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.140
GPT teacher head0.473
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2010
Admission routes1
Has abstractyes

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