Bibliographic record
Abstract
I begin with these words from Augusto Boal because, in his remarkable career as a creator and facilitator of internationally renowned theatre systems (the Theatre of the Oppressed and Legislative Theatre) and in his profound work as a mentor and motivator of teachers, actors, social workers and workers in numerous fields and countries, he has, above all, taught us the value of happiness in troubled times. Boal’s vision and practices have emerged out of the most difficult possible political circumstances. He was tortured under the military dictatorship in his native Brazil, and as an exile, despite the struggles of language barriers, he managed to create revolutionary and subversive ways of using theatre to animate issues and individual lives, before returning to Brazil to become, of all things, a Vereador, a member of Parliament. And, amazingly, he continued to use theatre to animate the political and cultural concerns of his constituents. At the core of Boal’s dramaturgy is the dual meaning of the verb “to act”: to perform and to take action (Boal 20).AIongside this, Boal’s work teaches us the dual meaning of the word “play”: the written creation, often at the origin of a performance, and the transformative act of creation that animates this written work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.009 |
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".