Neoliberalizing race? Diverse youths’ lived experiences of race in school choice
Bibliographic record
Abstract
Critical racial studies of school choice elucidate the worsening effects of school choice policy on racial segregation in diversifying cities around the world. This paper contributes to this scholarship by illuminating how a neoliberal education policy of school choice has created racial divisions in new ways in a settler-colonial city. It focuses on how neoliberal education reform of school choice reconfigures and reifies race as a socially and spatially constructed category, fixing the racial identities of youths. I apply critical theories of race, space and youth to examine how diverse youths make sense of, and negotiate, race within and between schools in making “choices” in the local context of a historically racialized urban geography. This paper shows that neoliberal reforms of education do not erase, but rather reconstruct, racial identities and divisions by shedding light on 59 students’ (ages 11–19) accounts of racial exclusion and their constructions of new racial stereotypes in the processes and outcomes of school choice.
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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 | 0.006 | 0.004 |
| 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 | 0.020 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".