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Record W4389793895 · doi:10.4000/fixxion.12891

“Un obscur objet de désir”

2023· article· fr· W4389793895 on OpenAlexaff
Thomas Ayouti

Bibliographic record

VenueRevue critique de fixxion française contemporaine · 2023
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Cet article entreprend l’étude de L’amant des morts, écrit par Mathieu Riboulet, en se concentrant sur les thèmes du patriarcat et de la masculinité. Il explore la manière dont les violences patriarcales, telles que l’inceste et l’homophobie, perpétrées par les figures paternelles, organisent la vie de Jérôme, le personnage principal. L’article examine également comment le texte illustre des archétypes de la masculinité virile dans le portrait de Gilles, le père du jeune homme, et celui d’Axel, l’un de ses amants. Ces figures servent de référence pour caractériser les autres hommes du roman, et tout particulièrement Jérôme. La construction du désir, en tant qu’élément essentiel du patriarcat et de la masculinité, est abordée par le prisme du “consentement” du jeune homme à l’inceste et de son désir d’anéantissement qui en découle. Enfin, l’article met en exergue l’agentivité singulière de Jérôme qui, face aux violences et aux désirs du patriarcat, transforme la brutalité en dévotion pour les malades du sida. L’étude souligne ainsi l’originalité dont fait preuve Riboulet dans son traitement de l’agentivité du protagoniste, dont le mutisme et l’introspection limitée laissent place à des révélations d’ordre quasi mystique.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.474
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.008

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 head0.041
GPT teacher head0.372
Teacher spread0.331 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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