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Record W2151338436 · doi:10.1177/0741713606292476

Culture and Antiracisms in Adult Education: An Exploration of the Contributions of Arts-Based Learning

2006· article· en· W2151338436 on OpenAlexaffabout
Darlene E. Clover

Bibliographic record

VenueAdult Education Quarterly · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsThe artsSociologyPedagogyArts in educationCitizen journalismRacismVisual arts educationPerforming artsPublic relationsVisual artsPolitical scienceGender studies

Abstract

fetched live from OpenAlex

Increasingly, practices of collective arts-based learning are being used by adult educators and community organizations as creative and participatory ways to respond to contemporary social or environmental issues. Investigating the potential contributions of arts-based learning to cross-cultural and antiracisms adult education was the aim of this qualitative comparative study in Ontario and British Columbia. Through the lens of antiracisms theories and from data obtained through open-ended interviews with project participants and artist-educators in three diverse arts projects, this article highlights some of the characteristics that make arts-based learning a culturally appropriate and effective, imaginative tool. But it also draws attention to the risks involved in creating public art and tacking difficult issues such as racism in contemporary Canadian society.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.911

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.015
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.336
Teacher spread0.324 · 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

Citations42
Published2006
Admission routes2
Has abstractyes

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