Not in My Schoolyard: Disability Discrimination in Educational Access
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
Disabled people constitute the largest minority group in the United States, and disability discrimination is prohibited under federal law. Nevertheless, disability has received limited attention in the sociology of discrimination. We examine disability discrimination in an important gatekeeping interaction: access to public education. In an audit study of more than 20,000 public schools, we sent emails to principals from fictitious prospective parents asking for a school tour, varying the child’s disability status and gender and the parent’s race. Principals were significantly less likely to respond when the child had a disability, especially when the email came from a Black (rather than White) parent. A survey experiment with 578 principals revealed possible mechanisms. Principals viewed disabled students as more likely to impose a significant burden on schools, but disabled Black students faced an additional disadvantage due to stereotypes of their parents, who were perceived to be less valuable future members of the school community in terms of fundraising, volunteering, and other forms of engagement to support the school. Our results highlight that discrimination against people with disabilities begins long before the labor market and illuminate how the intersection between disability and race shapes inequalities in educational access.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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