MétaCan
Menu
Back to cohort
Record W2036025369 · doi:10.3917/geoec.054.0091

Football et médias : un heureux mariage de raison

2010· article· fr· W2036025369 on OpenAlexaff
Daniel Riolo

Bibliographic record

VenueGéoéconomie/Géoéconomie · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsSpectacleHumanitiesFootballArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

Résumé L’analyse des rapports entre les médias et le football fait clairement apparaître une entente tacite, un mariage de raison. La télévision, comme l’avait prédit Ernest Chamond en 1927, a transformé le match de foot en un spectacle sans équivalent en termes d’audience. Véritable financier du football, la télévision est avant tout un partenaire de « business ». Face à ce couple heureux, les journalistes cherchent leur place. S’ils sont promoteurs de spectacle à la Football et médias : un heureux mariage de raison télévision, ils donnent l’impression d’une plus grande indépendance en presse écrite ou en radio. Reste que l’émotion prédomine le plus souvent sur la réflexion.

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)0.004
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: Commentary · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.011
Scholarly communication0.0120.007
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.228
GPT teacher head0.448
Teacher spread0.220 · 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
GenreCommentary

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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueGéoéconomie/GéoéconomieSame topicEducation, sociology, and vocational trainingFrench-language works237,207