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Record W2075481225 · doi:10.3138/ecf.26.4.693

Rousseau et le combat pour le rire: L’Humour entre gaieté et moquerie

2014· article· fr· W2075481225 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEighteenth-Century Fiction · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicRousseau and Enlightenment Thought
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPassionArtPsychology

Abstract

fetched live from OpenAlex

RÉSUMÉ Le présent article se propose de montrer à quel point le jugement que Jean-Jacques Rousseau porte sur l’humour et sur le rire peut nous aider à éclairer sa réflexion philoso‐ phique, notamment la genèse de l’émotion et le rôle que celle-ci peut jouer dans la conduite morale de l’individu. L’analyse généalogique de la passion du rire dans l’œuvre de Rousseau—qui s’inscrit de manière cohérente dans sa conception «vectorielle» de l’émotion—nous signale la nécessité de séparer nettement la réalisation positive de la bonne humeur, c’est à dire la gaieté, de sa dégénérescence négative, à savoir la moquerie. Dans le premier cas, il s’agit d’une émotion positive et légitime qui reprend le caractère naturel d’une passion pré-morale en l’élevant à outil d’édification de la socialité humaine; dans le second, il s’agit, au contraire, d’un sentiment artificiel et conventionnel qui fausse l’émotion et la transforme en un instrument de domination sur le prochain.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.013
GPT teacher head0.220
Teacher spread0.208 · 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