Reflecting on community-based research with the transgender community in South India
Bibliographic record
Abstract
This paper examines how street theatre was co-developed and implemented as a form of resistance and community empowerment in collaboration with the transgender community in Chennai, India. Rooted in the community’s longstanding cultural practices of dance and performance, this project mobilized street theatre not only to elevate marginalized voices, but to challenge the enduring legacies of colonial and gendered state violence. Drawing on a community-based action research approach and Freirean pedagogy, the first author, an Indian diasporic social worker and emerging scholar, reflects on their role as facilitator and co-learner in this process. The paper presents street theatre as a culturally grounded, transformative practice that reclaims public space, asserts agency, and creates dialogic encounters with the broader public. It further explores how such research-community partnerships can disrupt dominant knowledge production and catalyze social and personal transformation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.015 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".