MétaCan
Menu
Back to cohort
Record W1984498342 · doi:10.7202/019286ar

« Cela ne s’imposait pas. Cela, je l’impose1 » : l’immixtion de l’invective dans les pratiques du groupe surréaliste français

2008· article· fr· W1984498342 on OpenAlexvenueno aff
David Vrydaghs

Bibliographic record

VenueÉtudes littéraires · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsInvectiveHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Champions du scandale et de la violence verbale, les surréalistes français passent également pour les maîtres de l’invective. Ce jugement de la postérité doit cependant être en partie revu. L’invective n’était quasiment pas pratiquée ni souhaitée par le groupe lors de son émergence. Il a fallu que certains surréalistes — au premier rang desquels Aragon — l’imposent pour qu’elle apparaisse dans le répertoire collectif des techniques surréalistes de la violence verbale. L’approche sociohistorique adoptée ici permet de retracer les étapes de cette immixtion de l’invective dans les pratiques du groupe surréaliste français et de comprendre les différentes évaluations qui en ont été faites.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.026
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.099
GPT teacher head0.351
Teacher spread0.251 · 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 designQualitative
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

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueÉtudes littérairesSame topicEducation, sociology, and vocational trainingFrench-language works237,207