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Record W2791367382

Plaisanteries d’initiés

2016· article· fr· W2791367382 on OpenAlexaboutno aff
Marion Ink

Bibliographic record

VenueCairn.info · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Cet article vise a definir, par induction analytique a partir de materiaux recueillis depuis plus de 4 ans dans des residences universitaires en France, aux Etats-Unis et au Canada, ce qu’est une plaisanterie d’inities. Les plaisanteries d’inities, objet principal de la presente etude, sont le resultat d’une filature d’interactions anterieures. Nous montrons ici que celles-ci sont toujours declenchees par une situation absurde desamorcee par le rire des inities in situ ou a posteriori. Elles sont alors activees et reactivees par les inities en presence d’un public. Nous definissons ainsi les inities comme les personnes presentes lors de la situation absurde et participant explicitement a la ou aux situations de desamorcage par le rire. Leur statut d’inities leur autorise trois actions : repeter la plaisanterie devant un public, exprimer explicitement la comprehension de la plaisanterie (si elle est dite par un autre initie) et negocier avec les autres inities l’inclusion d’un membre encore fluctuant. Cet article vise alors a distinguer les moqueries (rire excluant) des « taquineries » (rire integrateur) dans le cadre des plaisanteries d’inities. Les membres inities des groupes ne sont pas seulement des personnes qui connaissent l’origine de la reference passee, mais celles et ceux qui ont partage l’experience emotionnelle du desamorcage par le rire.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other
Teacher disagreement score0.918
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0900.005

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 head0.034
GPT teacher head0.266
Teacher spread0.232 · 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
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

Citations0
Published2016
Admission routes1
Has abstractyes

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