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Record W2888280964 · doi:10.7202/1049462ar

L’image de la Grande Faucheuse et sa subversion humoristique. Une étude exploratoire

2018· article· fr· W2888280964 on OpenAlexaffvenue
Joseph J. Lévy

Bibliographic record

VenueFrontières · 2018
Typearticle
Languagefr
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArtHumanitiesSubversionPolitical science

Abstract

fetched live from OpenAlex

La Grande Faucheuse, l’une des figures thanatiques de l’iconographie occidentale, a souvent été utilisée dans la création artistique et cinématographique. Elle a aussi fait l’objet d’une réinterprétation humoristique que cet article se propose d’explorer à partir d’exemples contemporains (cinéma, bande dessinée et dessins disponibles sur Internet). L’analyse met en évidence les stratégies scénographiques et discursives pour créer des effets humoristiques (incongruité, agressivité, quiproquo, etc.) qui visent à humaniser la mort en explorant les enjeux et les dilemmes que la Grande Faucheuse rencontre dans son existence et ses fonctions.

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), 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: Empirical
Teacher disagreement score0.534
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.020
GPT teacher head0.340
Teacher spread0.321 · 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
Published2018
Admission routes2
Has abstractyes

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