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Record W4381557819 · doi:10.4000/belphegor.5246

Un genre encore fécond ? Devenirs de l’anticipation en France

2023· article· fr· W4381557819 on OpenAlexvenueno aff
Simon Bréan

Bibliographic record

VenueBelphégor · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Qu’est devenue l’anticipation après la Seconde Guerre mondiale ? La réponse la plus évidente consiste à l’assimiler à la science-fiction. Néanmoins, s’il est parfaitement possible de les envisager ensemble, comme une seule littérature conjecturale, l’hypothèse de départ est qu’il existe un risque d’aveuglement critique à ne considérer que la catégorie « science-fiction » pour analyser tous les récits conjecturaux d’après-guerre. Il s’agit donc d’explorer l’idée selon laquelle une fécondité spécifique à la poétique de l’anticipation, telle qu’elle est issue de la tradition anglo-française, subsiste jusqu’à nos jours, en informant l’écriture de récits à la situation ambiguë : ceux que la critique généraliste rechigne à désigner comme de la science-fiction, mais que les amateurs du genre identifient comme telle malgré tout. Cet article se concentre sur les signes d’une « post-anticipation » – une tradition spécifique de l’anticipation après 1940 – pour déceler les principes et les caractéristiques de sa fécondité continuée. Pour cela, nous commençons par une approche exploratoire, pour établir selon quels indices et selon quels critères on peut identifier des candidats potentiels pour cette approche, avant d’examiner à partir de quelques exemples ce qu’une lecture de ces textes en termes d’anticipation est susceptible d’apporter.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.081
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.014
Scholarly communication0.0110.006
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.032
GPT teacher head0.265
Teacher spread0.233 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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