Teatro e educação na obra de Tara Goldstein.
Bibliographic record
Abstract
As Américas têm migrações constantes, com objetos distintos, desde seu descobrimento até a contemporaneidade. Tais atividades migratórias levam a estudos e pesquisas em torno do tema multiculturalismo, com o intuito de conscientizar sobre a cultura do “outro” e valorizar a preservação dessa cultura. Com o objetivo de divulgar um interessante trabalho canadense que vem sendo feito nessa área, analiso neste artigo a obra de Tara Goldstein, professora, autora e pesquisadora canadense que transforma suas pesquisas etnográficas em peças teatrais e através da arte ensina e promove estudos e pesquisas que incluem o esforço à eqüidade em educação e instrução, a educação de adolescentes imigrantes e a instrução em comunidades multilíngües, por acreditar que a divulgação de seus estudos e pesquisas pode orientar e fornecer alguns subsídios à prática do multiculturalismo em todas as Américas. Abstract: the Americas have constant migrations, with distinct objects, since its discovery until today. Such migrant activities are object of studies and researches on multiculturalism with the goal of call the attention to the culture from “other” and to the preservation of this culture. With the main goal of announcing an interesting Canadian study that has been conducted in this area, I analyze in this article the work of Tara Goldstein, Canadian teacher, author and researcher that transforms her ethnographical researches in plays and, through the art, teaches and promotes studies and researches that include the effort for equity in education and instruction, immigrant teenagers’ education and the instruction in multilingual communities, since she believes that her studies and researches can guide and to supply some subsidies to the practice of multiculturalism in all Americas.
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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 | 0.002 | 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 | 0.007 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".