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Record W2625641950 · doi:10.1386/cjmc.8.1.49_1

The inclusion of non-Western artistic traditions in cultural policy: Contrasting social justice and public diplomacy approaches

2017· article· en· W2625641950 on OpenAlexaboutno aff
Pier‐Luc Dupont

Bibliographic record

VenueCrossings Journal of Migration and Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
FundersMinisterio de Economía y Competitividad
KeywordsCultural policyThe artsMandateDiplomacyDancePolitical scienceEquity (law)Performing artsInclusion (mineral)Movie theaterMainstreamingEconomic JusticeImmigrationSociologyPublic administrationSocial scienceLawVisual artsArt

Abstract

fetched live from OpenAlex

Abstract On both sides of the Atlantic, the dissemination of non-Western artistic traditions among the general public has been hampered by the prevalence of Eurocentric aesthetic standards in cultural institutions and organizations. In recent years, however, some states have taken steps in order to increase the exposure of immigrant-origin artists in a variety of disciplines, including theatre, music, dance, literature, cinema and visual arts. This article offers a systematic comparison of two such initiatives that have been developed at the national level: the Equity Office of the Canada Council for the Arts and Spain’s network of cultural ‘Houses’ ( Red de Casas ). While the former was assigned a social justice mandate, the latter was created to further foreign policy goals through public diplomacy. These diverging approaches have created distinct funding opportunities, policy instruments and structural outcomes, with important implications for processes of artistic segregation and mainstreaming.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0010.001
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 head0.098
GPT teacher head0.360
Teacher spread0.262 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

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