Fluxo espontâneo e capacidade de jogo: estudos atorais a partir de
princípios do teatro-esporte e do match de improvisação
Bibliographic record
Abstract
This research aims to investigate the relevance of improvisation work to THEATRESPORTS and the MATCH OF IMPROVISATION in \'scenic training\' and in the actor s preparation, analyzing their components, execution dynamics and development that has been consolidating in Canada, Argentina and European countries as an artistic practice and not so much explored as a pedagogical-theatrical instrument. In Brazil, there are groups working with these practices, but in literature there are few academic researches on Theatresports and Match. Moreover, it has not so far made for Portuguese translations of Keith Johnstone s works. As base study structures about the importance of improvisation in actor training, the principles researched are Keith Johnstone s \"Theatresports\" and Gravel s and Leduc s \"Match of Improvisation\" as well as an experience based on Melodrama games as enhancers of GAME CAPABILITY and SPONTANEOUS FLOW of actors creations.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".