Learning, Indigenizing, and Delivering Forum Theatre Activities in Indigenous Communities: Reflections of Community Facilitators
Bibliographic record
Abstract
In many Indigenous communities, wellness is a holistic balance of spiritual, physical, mental, and emotional wellbeing through connections with self, family, community, and environment. Interventions to promote mental wellness (as a means of suicide prevention) with Indigenous youth thus need to focus on strengths and promoting these relations. First Nations and Métis communities in Alberta and the Northwest Territories in Canada partnered with academic researchers to adapt Forum Theatre as a mental health intervention for Indigenous youth. Forum Theatre, developed by Brazilian activist Augusto Boal, is based on playing games that encourage laughter, trust, and cooperation to build a community. The games lead to creating images with participants' bodies to reflect different life events, which are developed into a play with conflict and oppression. Through interaction with the play, community members explore solutions to the conflict. Indigenous community partners handpicked community members to train in facilitating Forum Theatre activities to deliver this mental health intervention. Our video showcases the reflections of a group of community facilitators and researchers on the process of being trained in Forum Theatre and indigenizing it for delivery to the participating communities. Community facilitators explain how they came to understand the potential and power of Forum Theatre activities. They describe their training experiences and briefly explain how they indigenized Forum Theatre in a manner that prioritized each community's assets and needs. Their description of the impact they saw in themselves, participants, and communities emphasizes the transformative nature of delivering indigenized Forum Theatre in communities.
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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 | 0.029 | 0.045 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.030 | 0.018 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.005 | 0.015 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".