Benefits of Readers Theatre: An inclusive, participatory, arts-based research approach with youth
Bibliographic record
Abstract
Readers Theatre is an inclusive, arts-based research approach that can be utilized for data collection and data generation. We discuss six benefits of using Readers Theatre in research that was conducted on understanding the experiences of Asian Canadian youth and identity during times of heightened racial tension. The benefits of using Readers Theatre with youth include 1) Readers Theatre privileges the first-voice; 2) it is low-stakes; 3) it is inclusive with direct benefits; 4) it actively engages youth in multifaceted ways; 5) it captures details, feelings, emotions and nuances; and 6) it embodies a participatory approach that enhances validity. Readers Theatre is a novel and engaging approach to qualitative research data collection with youth that offers a way for youth to resist stereotypical discourses and better explore cultural identity within racialized youth. Key words: Readers Theatre, youth, identity, arts-based research.
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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 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".