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Record W2143602552 · doi:10.4000/belphegor.576

Natacha Vas-Deyres, Ces Français qui ont écrit demain. Utopie, anticipation et science-fiction au xxe siècle

2015· article· fr· W2143602552 on OpenAlexaffvenue
Vittorio Frigerio

Bibliographic record

VenueBelphégor · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La science-fiction n’a jamais été considérée un genre particulièrement français. En dépit des anticipations de Jules Verne et de ses contemporains et rares successeurs, ou de l’engouement quelque peu transitoire créé par la traduction par Boris Vian du roman capital The Players of Null-A d’Alfred Van Vogt, la fiction spéculative (autre terme parmi ceux, nombreux, qu’on a créés pour la définir) a toujours été considérée principalement comme une invention américaine, reçue avec un enthousiasme ...

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.063
GPT teacher head0.299
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2015
Admission routes2
Has abstractyes

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