Moving the centre of socially engaged performance
Bibliographic record
Abstract
This editorial marks the first co-edited issue of Applied Theatre Research ( ATR ) : Socially Engaged Performance . In retitling the journal and reframing its editorial vision, we foreground socially engaged performance as an inclusive term that invites radical and interdisciplinary praxes from new ecologies and centres. Guided by Ngũgĩ wa Thiong’o’s call to ‘move the centre’, we point to the continued dominance of Eurocentric epistemologies and highlight the need for multiple, interconnected centres for cultures, knowledges and practices. Our reflections introduce inequities in academic publishing and access and new possibilities for mentorship and support for practitioners. By recommitting to mentorship and sponsorship as integral modes of moving the centre, this editorial situates ATR: Socially Engaged Performance as a platform for global dialogue and generosity, while sustaining applied theatre and socially engaged performance as critical, creative and politically urgent fields.
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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 | 0.017 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.043 |
| Scholarly communication | 0.028 | 0.015 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".