Meeting and extending participants: exploratory case studies of community artist pedagogy
Bibliographic record
Abstract
In this article, the author revisits the pedagogy of a chef, which inspired his interest in community arts, before turning to pedagogies of three British community artists that he investigated through an exploratory case study. The article discusses ways in which these artists described establishing relationships with participants and using materials in ways that might push them in new directions and towards the unknown. This process, described by one creative practitioner as 'meeting' and 'extending' her participants, was facilitated through creating an atmosphere of comfort and care, role play, and using materials in ways that allow for experimentation and are not suggestive of particular arts disciplines. In his final discussion, he explores the implications of these pedagogies for current debates within the emerging field of community arts practice.
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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 | 0.032 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.030 | 0.020 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.007 | 0.015 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".