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When Co-Creation meets Art for Social Change: the Street Beats Band

2020· book-chapter· en· W4252503617 on OpenAlexaboutno aff
Juliet Carpenter

Bibliographic record

VenuePolicy Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsVisionPower (physics)NarrativeProcess (computing)SociologyVisual artsObject (grammar)Media studiesPolitical sciencePublic relationsAestheticsArtComputer science

Abstract

fetched live from OpenAlex

This chapter explores the interface between the concept of Co-Creation and the ‘Art for Social Change’ movement, taking the case of the Street Beats Band, a community-based percussion band in Vancouver, Canada. Local community members in the band collaborated with professional musicians, to perform a commissioned work at an International Contemporary Music Festival, on ‘found object’ percussion instruments that had been curated by members of Vancouver’s ‘binner’ community. The chapter illustrates that a Co-Creative process such as the Street Beats Band can empower and build community, as well as confront conventional thinking and trouble received narratives and expectations. However, while the methodology of Co-Creation holds critical potential as a tool to challenge stereotypes and marginalisation, it nevertheless operates with the structural constraints of deeply embedded power hierarchies that dominate discourse around urban disadvantage. The chapter also highlights the potential tensions and dilemmas that are embedded within a Co-Creation process, due to different visions, interests and inevitable power hierarchies. These issues should be acknowledged, addressed and negotiated by those involved, for Co-Creation to achieve its potential.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.467
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.201
GPT teacher head0.375
Teacher spread0.174 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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