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Record W4406089678 · doi:10.4000/130vq

Se mettre à l’œuvre: Trois incipit de fantasy française

2024· article· fr· W4406089678 on OpenAlexvenueno aff
Adrien Rosescu

Bibliographic record

VenueBelphégor · 2024
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsArtFantasyHumanitiesLiterature

Abstract

fetched live from OpenAlex

Le propos de cet article est d’étudier trois incipit de fantasy francophone issus des œuvres de Justine Niogret, Stefan Platteau et Jean-Philippe Jaworski en les envisageant plus spécifiquement dans une modalité de mouvement. Nous verrons que les univers de ces trois auteurs se dévoilent toutefois au lecteur en suivant des types de déplacement bien distincts, qu’il s’agisse d’une émergence progressive concernant Les Sentiers des astres de Platteau, d’une immersion tant géographique que psychologique dans « Mauvaise donne » de Jaworski, ou encore d’un brusque demi-tour savamment orchestré par Niogret dans Chien du heaume. Durant notre analyse, nous tâcherons aussi de porter une attention toute particulière à l’emploi des topoï dans ces incipit, tels que ceux du seuil, de l’éveil, du regard et de la violence dès l’orée du texte.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.318
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.026

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 head0.044
GPT teacher head0.391
Teacher spread0.348 · 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
Published2024
Admission routes1
Has abstractyes

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