Education policy racialisations: Afrocentric schools, Islamic schools, and the new enunciations of equity
Bibliographic record
Abstract
This paper draws on ideas of assemblage to examine the contingency and (in)coherence of education policy. The paper is a conceptual and thematic attempt to understand the policy terrain, broadly conceived, pertaining to opposition to the establishment of private Islamic schools in Australia and public Afrocentric schools in Canada. This opposition is located within complex policy terrains relating to multiculturalism, whiteness and race/racism. The paper focuses on the complex racialised politics surrounding education policy initiatives that support marketisation and choice in private and public K-12 schooling – with an interest in what forms of choice are legitimated in and by a racialised education market. The paper concludes that opposition to Islamic and Afrocentric schooling highlights the ambiguity of equity, and the fragility of identity in racialised education policy environments.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.044 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".