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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 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)0.037
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0140.057
Scholarly communication0.0220.007
Open science0.0020.021
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0040.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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