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Record W1594098891 · doi:10.7202/1023718ar

Internet, nouvel eldorado pour la circulation de la production audiovisuelle autochtone ?

2014· article· fr· W1594098891 on OpenAlexvenueaboutno aff
Éric George, Philippe‐Antoine Lupien

Bibliographic record

VenueRecherches amérindiennes au Québec · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La popularité grandissante des médias sociaux a réactualisé un discours présent depuis les débuts du réseau Internet, selon lequel les usagers du cyberespace, contribuant à la production du contenu en ligne, participent à l’essor de nouvelles structures de production appelées à révolutionner les industries de la culture. En quittant le simple statut de consommateur pour devenir générateur de contenu, l’internaute contribuerait activement au développement culturel de sa communauté et à la circulation de nouvelles formes de productions. En s’intéressant au rôle tenu par le réseau Internet dans la circulation de la production culturelle autochtone au Québec et au Canada, l’auteur a observé en quoi le cyberespace permet d’enrichir la production traditionnelle et comment le Web contribue à diversifier l’offre et à modifier les usages. En somme, dans quelle mesure les nouveaux moyens de communication contribuent- ils à élargir la prise de parole ou à renforcer la domination de médias déjà existants ?

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.157
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.006
Scholarly communication0.0120.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0440.004

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 head0.266
GPT teacher head0.437
Teacher spread0.171 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

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