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Record W4212867312 · doi:10.22230/cjc.2022v47n1a4013

Making Community Knowledge Visible: Mapping Canadian Arts-Service Organizations as Cultural Research Conduits

2022· article· en· W4212867312 on OpenAlexaffvenueabout
Miranda Campbell, Calla Evans, Lucy Wowk

Bibliographic record

VenueCanadian Journal of Communication · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGeneral partnershipScope (computer science)The artsPublic relationsService (business)Scale (ratio)SociologyPublic sectorQualitative researchPolitical scienceBusinessSocial scienceMarketingGeography

Abstract

fetched live from OpenAlex

Background: Arts-service organizations (ASOs) are member-directed representative professional bodies, meant to serve the interests of their members as well as their artistic discipline and the public. Despite this broad, mixed role, there is a dearth of academic research about ASOs and the role they play in Canada’s cultural ecosystem. Analysis: Working in partnership with cultural research organization Mass Culture, the Arts-Service Organizations as Cultural Research Conduits research project sought to develop more knowledge about this sector. Conclusion and implications: Using a cultural mapping methodology, quantitative and qualitative data were collected about the scale, scope, and role of the sector, particularly with regard to research conducted internally and externally by the ASO sector.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.438
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0120.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.354
GPT teacher head0.434
Teacher spread0.080 · 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

Citations3
Published2022
Admission routes3
Has abstractyes

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