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Record W2342279109 · doi:10.3138/cjfs.21.1.2

Bridging the Gap: Film Festival Governance, Public Partners and the “Vexing” Problem Of Film Distribution

2012· article· fr· W2342279109 on OpenAlexvenueaboutno aff
Diane J. Burgess

Bibliographic record

VenueCanadian Journal of Film Studies · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En 2004, des préoccupations au sujet de la gouvernance des festivals de films et l’essor d’un cadre de travail fondé sur la mesure de la performance ont incité Téléfilm Canada à reconsidérer le support que l’organisme accordait aux festivals locaux. Une série de rapports a tenté de délimiter les facteurs de succès pour établir la valeur de l’évènement. Cette initiative a malencontreusement donné forme à une intervention malhabile auprès du festival de Montréal et a conduit à réviser le programme Le Canada à l’affiche. Parce que leurs fonctions incluent le développement professionnel, la mise en marché ainsi que l’accès à la culture, les festivals de films se sont avérés difficiles à situer sur l’échelle de valeur d’une industrie définissant l’audience nationale à la fois comme public et comme marché. Cet essai examine la relation entre le financement fédéral et la gouvernance des festivals, en particulier à travers les rapports L’analyse des grands festivals de films canadiens (2004), Pratiques exemplaires pour le financement des festivals (2006), Évaluation de l’aide octroyée par Téléfilm aux festivals audiovisuels canadiens (2007). Des tensions non résolues entre, d’une part, les objectifs stratégiques visant à construire l’industrie et, d’autre part, ceux visant à construire les audiences apparaissent dès lors informer les visées trop englobantes d’une politique culturelle de stimulation du cinéma national.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.324
Teacher spread0.243 · 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 teacher head, not a consensus.

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

Citations5
Published2012
Admission routes2
Has abstractyes

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