Young people's cartographies of school choice: the urban imaginary and moral panic
Bibliographic record
Abstract
A critical geography of school choice illuminates how parental school choice reproduces unequal urban conditions. This paper contributes to this scholarship by arguing that the reproduction of urban spaces is reinforced by the ways the dominant urban imaginary shapes how youths imagine and organise their school options. I draw from the fields of critical geography, school choice, and sociology of moral panic to theorise how children's geographies are informed by the dominant urban imaginary and reconstituted reiteratively by moral anxiety. Through this lens, I analyse ethnographic data collected on school choice policy, along with interviews with 59 youth (ages 11–19) in Vancouver, Canada. My analysis demonstrates that the dominant forms of classed stigmatisation of marginalised urban schools are important to young people's rejection of those schools. My analysis also shows that moral panic and rising fears of violence underwrite the spatial patterns of youth participation in 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.036 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".