Bibliographic record
Abstract
This article discusses my interactions with the teacher in whose classroom I conducted my doctoral research. That project was concerned with using transformative Drama pedagogy to reconceptualise cultural identity in multicultural curricular policy. The participants in my study comprised of 15 Grade Nine Drama students and their teacher at ‘May Valley High School’, located just outside of Toronto, Canada. During the Fall semester of the 2004–2005 academic year, I observed the students’ performances (both in and out of dramatic role) of their gender, sexuality, racial and ethnic identities. Using a performative lens to analyse the connections between their ‘fictional’ identity performances, and their ‘actual’ ones, I showed how, in this particular classroom, those connections often served to reinforce rather than challenge hegemonic constructions of social identity and identification. I suspected that this had much to do with their teacher’s pedagogical orientations and practices, with respect to multiculturalism and ethno‐cultural difference. In this article, I tease out how the ‘Whiteness’ embedded in his pedagogy served to perpetuate institutional racism at the school.
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 | 0.003 | 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 | 0.015 | 0.015 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".