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Record W2128904664 · doi:10.7202/1004930ar

« Médiacultures » et coming out des cultural studies en France

2011· article· fr· W2128904664 on OpenAlexvenueno aff
Éric Maigret

Bibliographic record

VenueCahiers de recherche sociologique · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Dans le contexte où les individus adaptent leurs consommations culturelles aux nouvelles réalités technologiques et sociales du vingtième et du vingt et unième siècle sans adapter aussi rapidement leurs catégories de pensée héritées du dix-neuvième siècle, cet article prend acte de la faible productivité empirique et théorique de l’opposition entre cultures nobles et communication de masse. D’une part, il propose le concept de médiaculture pour marquer la fin d’une période d’oppositions systématiques et l’ouverture d’une période d’hybridité, qui laisse pourtant toujours sourdre des effets persistants de partage. Ce concept articule trois niveaux de réflexion : une vision anthropologique de la culture, une appréciation esthético-historique des types de culture engagés dans la production et la réception des œuvres et, finalement, la culture pensée comme une intrication de pouvoir et de sens. D’autre part, ce texte présente le développement des cultural studies en France à travers ses multiples résistances ainsi que les divers courants s’y inscrivant.

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)0.008
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0140.018
Scholarly communication0.0150.007
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.485
GPT teacher head0.430
Teacher spread0.055 · 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
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

Citations3
Published2011
Admission routes1
Has abstractyes

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