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Record W1568622896 · doi:10.3917/top.108.0113

Transformations et métamorphoses

2010· article· fr· W1568622896 on OpenAlexaboutno aff
Marco Francesconi, Daniela Scotto di Fasano

Bibliographic record

VenueTopique · 2010
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

À travers l’étude des écrits de Kafka et de Freud, le texte analyse comment on peut affronter de différentes façons, la fragilité du corporel. La découverte d’une grave maladie, en même temps que la révélation de conflits oedipiens irrésolus ont conduit Kafka à exprimer une nette dérive vers la culpabilité et la mort dans ses œuvres. Chez l’auteur de la Métamorphose, domine l’idée d’une mutation immédiate, totale et sans liens avec le passé. Pour lui, l’écriture n’est pas un instrument, ni de réparation ni de rachat, elle n’est pas une trace pour les autres. Le langage n’a pas une fonction communicative, il opère comme une action directe (Bleger). Il affronte la maladie en écrivant ce qu’il s’interdit de penser, il est alors l’insecte horrible et disparaît. Tandis que Freud maîtrise les angoisses liées à la Première Guerre Mondiale et ceci, à travers l’élaboration douloureuse des écrits de ces années-là. Dans la mythologie, Zeus est capable de transformations de la pensée, par contre Metis, l’astuce, domine la Métamorphose. Metis succombe face à l’utilisation intelligente de la pensée initiée par Zeus. Mais, peut-on penser, encore aujourd’hui, que la lutte entre les deux mène au même résultat.

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)0.001
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 score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.015
Scholarly communication0.0050.005
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.034
GPT teacher head0.417
Teacher spread0.383 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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