Whose social impact is it anyway? Directionality and the potential of affect in community music
Bibliographic record
Abstract
Social impact is an increasingly common factor in judging the “success” of arts projects within communities, yet its applications can work to entrench marginalizations. This article notes the risks of looking only unidirectionally and dyadically, for the effects projects have on those participating. What would happen if we focused instead on how socially-engaged projects support participants to make their own impacts through the performing arts? The article combines interdisciplinary theoretical discussions with perspectives from the sex worker-led community musical theatre project, Sex Worker’s Opera. Having problematized certain approaches to social impact, the author flags the potential of the concept of affect for community music practitioners and researchers. She suggests affect – as it is more commonly used in the adjacent field of applied theatre – offers a helpful counter to limiting understandings of effect, and should be integrated into social impact discussions by socially-engaged arts funders, organizers, practitioners and researchers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".