My Stage: Participatory Theatre with Immigrant Women as a Decolonizing Method in Art-based Research
Bibliographic record
Abstract
This article discusses how art-based research can function as a decolonizing research method. Its analysis is based on the collaboration of social work and art education disciplines for advancing social justice and deconstructing power dominances. Empirically, the research builds on a participatory theatre project, “My Stage,” with immigrant women. The project was established as part of a larger interdisciplinary project, “Art Gear,” in Northern Finland, which promoted the bidirectional integration of the local population and people with immigrant backgrounds. The research data were collected through participatory observation and reflective discussions by the social work researcher in the theatre workshops. By the analysis of an interdisciplinary team of social work and art education researchers, we develop a context-sensitive framework of art-based research to advance decolonizing research methods, which contribute to supporting the agency and inclusion of marginalized populations in research and in their integration processes at times of complex and rapid demographic and societal changes.
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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 | 0.062 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.039 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.004 | 0.022 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".