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Record W2047144438 · doi:10.4000/pratiques.1848

Petit écrivain deviendra grand

2011· article· fr· W2047144438 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

VenuePratiques · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Alors que le jeune Victor Hugo cherche à faire sa place parmi les grands et qu’il est encore influencé par le style des Anciens, nous pouvons lire dans ses quatre premiers romans – Han d’Islande, Bug-Jargal, Le Dernier jour d’un condamné et Notre- Dame de Paris – une tension entre le cadre rigide des modèles littéraires et le contenu particulier des œuvres. Notre contribution se propose d’éclairer, à partir d’une interprétation anthropologique de cette écriture qui se cherche, un des aspects culturels de la formation du romancier. Le parcours romanesque de l’auteur, de 1823 à 1831, y est en effet étudié à la lumière d’un temps particulier du rite de passage canonique, soit l’expérience d’ensauvagement, dont les échos retentissent tant dans le style des écrits que dans les procédés mêmes du travail créateur – le tout engageant la construction identitaire du sujet rituel. Si notre lecture des apprentissages de V. Hugo nous permet d’avancer une théorie unifiante de ses premiers romans, elle s’attache ultimement à comprendre comment l’écrivain y acquiert une forme de maturité qui le mettra en voie de devenir l’un des plus illustres auteurs et penseurs de son siècle.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.104
GPT teacher head0.290
Teacher spread0.187 · 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