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Record W2140626004 · doi:10.7202/010636ar

Elsa Morante : éloge de la désobéissance

2005· article· fr· W2140626004 on OpenAlexvenueno aff
Silvestra Mariniello

Bibliographic record

VenueÉtudes littéraires · 2005
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesFablePhilosophyLiterature

Abstract

fetched live from OpenAlex

Comment désobéir sans emprunter les voies de la désobéissance déjà prévues par L’Autorité ? L’article propose une lecture de l’oeuvre d’Elsa Morante à la lumière de cette question à laquelle Carlottina dans LeMonde sauvé par les gamins, trouve une réponse originale. La merveilleuse fable de l’étoile jaune semble résumer toute l’activité littéraire d’Elsa Morante : il ne s’agit pas, pour cet auteur, de se situer du côté des avant-gardes, en subvertissant les règles de la tradition, par exemple, (forme de désobéissance prévue par « La Loi »), ni de se situer du côté de la tradition littéraire, d’obéir à son autorité, mais d’inventer une autre désobéissance, qui ne serait ni prévue, ni diamétralement opposée aux lois. La désobéissance de Morante semble récupérer l’expérience vécue des femmes, qui passe par un devenir-femme de la conscience et de la poésie. Un devenir- femme, auquel les femmes doivent accéder pour sortir de leur histoire, pour écrire une autre histoire, faite aussi de corps, de silence, d’expériences vécues au quotidien, l’histoire d’un « je » pluriel, ouvert à l’autre.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.012
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.234
Teacher spread0.211 · 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
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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