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Record W2070576494 · doi:10.3917/geoec.058.0031

Cultiver la créativité, corollaire de la diversité culturelle européenne

2011· article· fr· W2070576494 on OpenAlexaff
Violaine Hacker

Bibliographic record

VenueGéoéconomie/Géoéconomie · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsPolitical scienceHumanitiesSoft powerArtPolitics

Abstract

fetched live from OpenAlex

Résumé La diversité culturelle, considérée en Europe comme un bien public commun, constitue la pierre d’achoppement de la politique audiovisuelle. Promouvant une exception européenne, les décideurs européens s’accrochent à ce concept afin de favoriser des politiques adaptées aux enjeux nouveaux liés aux évolutions territoriales et technologiques bouleversant les logiques identitaires. La construction d’un level playing field européen – capable de soutenir les services audiovisuels dans la mondialisation – suppose d’allier promotion de l’héritage culturel européen et développement du marché des industries créatives. La politique concernant le cinéma n’est pas encore assez mûre pour constituer un véritable instrument de soft power. Alors que les majors américaines dominent toujours le marché et que de nouveaux pays deviennent de réels concurrents, l’UE tente timidement de s’insérer dans la mondialisation via de nouveaux programmes. Cependant, l’Europe reste un pouvoir fragmenté en quête d’orientation politique.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0060.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.054
GPT teacher head0.253
Teacher spread0.200 · 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 designTheoretical or conceptual
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

Citations0
Published2011
Admission routes1
Has abstractyes

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