When schools open: Student mobility and racial sorting across new charter schools in Kansas City, Missouri
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Does opening new schools of choice in urban areas lead to increased racial isolation among students? We examine whether the availability of new charter schools in Kansas City, Missouri, shapes patterns of segregation using student-level data between 2012 and 2016. We find that White students are over-represented among those who switch into new charter schools, and that they enter schools with lower proportions of Black students and higher proportions of other White students. This suggests that the sorting of students into new charter schools led to slightly increased levels of racial segregation. But rather than a generalized phenomenon, this sorting appears to be due to two schools with particular characteristics. As cities look to attract more affluent and White families to their urban public schools by opening up new school options, we conclude by discussing how such policies might come at the expense of educational opportunities for lower-income, non-White residents.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it