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Record W4401328681 · doi:10.1080/09548963.2024.2387771

The role of cultural organisations in matters of equity, diversity, and inclusion

2024· article· en· W4401328681 on OpenAlexafffundabout
Julie Bérubé, Julien Doris, Alexis Pouliot

Bibliographic record

VenueCultural Trends · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversité LavalUniversity of OttawaUniversité du Québec en Outaouais
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInclusion (mineral)Equity (law)Diversity (politics)Cultural diversitySociologyPolitical sciencePublic relationsBusinessSocial scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

Equity, diversity, and inclusion (EDI) issues are relevant to all areas of society, including the cultural sector, which is characterised by systemic discrimination. Our research question is: how do artists and cultural workers perceive the role of cultural organisations in addressing EDI issues in the Canadian cultural sector? We conducted 65 semi-structured interviews with Canadian artists and cultural organisation workers to investigate this question. Our results show the difference in perception between artists and cultural organisation workers, particularly regarding grant programmes that promote equity, the role of education, and of cultural organisations. All agree on the importance of promoting EDI in the cultural sector. However, artists and cultural organisation workers sometimes have different ideas about how EDI can be promoted. Results point to better EDI training for workers in cultural organisations, more long-term funding for EDI projects, better communication of EDI initiatives, and better sharing of best practices among organisations.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.004
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 head0.060
GPT teacher head0.338
Teacher spread0.278 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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