Can the sociodramatic theories of social change of Boal be used to change intermediate student outlook on life? (Augusto Boal).
Bibliographic record
Abstract
This study examined whether weekly drama sessions based on the sociodramatic theories of Boal (1985) could be used to change intermediate student outlook on life. Grade Eight students participated in ten, forty-minute weekly drama sessions. Each session consisted of activities based on the work "Theatre of the Oppressed," created by Augusto Boal. This was a pre-existing group of "at-risk" adolescents. They had been identified by school staff as being "at-risk" due to behavioural problems in the classroom, lack of motivation in classroom activities, social problems in the classroom and playground, and lack of respect towards peers and/or staff. Often these students were problematic due to varied backgrounds. Data was collected in many forms. Before students participated in the drama sessions, they wrote a pre-test of the Piers Harris Children's Self-Concept Scale. Students wrote a post-test of this same scale after the tenth drama session. Students wrote in personal reflective journals at the conclusion of each drama session. Field notes on student participation were taken by the teacher-researcher. A final member check was conducted in the form of a written questionnaire. (Abstract shortened by UMI.) Source: Masters Abstracts International, Volume: 42-01, page: 0022. Adviser: Kara Smith. Thesis (M.Ed.)--University of Windsor (Canada), 2003.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".