Education Policy and Racial Biopolitics in Multicultural Cities
Bibliographic record
Abstract
Attempts at educational equity amount to local activities performed within unequal and disjunctive political forces. As a politics, educational equity is redolent of the conditions that produce unequal schooling in the first place. Based on a four-year multi-modal study, this book identifies the forces that produced unequal schooling opportunities for Black families in Toronto, Canada, while simultaneously identifying the conditions that generated an Africentric Alternative School for these families and the Black community. The book identifies how the conditions that created unequal schooling were some of the very conditions that produced educational equity in the form of the school. This includes four preconditions to relay an account of the school’s origin, including biopolitics, neoliberalism, the politics of recognition, and the city and its relationships to ideologies of race and multiculturalism. Each precondition is discussed in a separate chapter and in relation to a significant policy event that precipitated the becoming of the Africentric Alternative School. The book utilises an unique feature by developing a ‘subtext’ that accompanies each chapter, whereby the authors reflect upon the theoretical and methodological choices in each corresponding chapter. The book concludes how this particular analysis of education policy can be used to map constellations of power and force that have a large degree of influence over policy subjects and policy actors, in concerted attempts to identify the important preconditions that shape recurring attempts at racial justice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".