Bibliographic record
Abstract
"A very important study that will appeal to a disability studies audience as well as scholars in social movements, social justice, critical pedagogy, literacy education, professional development for disability and learning specialists in access centers and student counseling centers, as well as the broader domains of sociology and education." ---Melanie Panitch, Ryerson University "Ableism is alive and well in higher education. We do not know how to abandon the myth of the 'pure (ivory) tower that props up and is propped up by ableist ideology.' . . . Mad at School is thoroughly researched and pathbreaking. . . . The author's presentation of her own experience with mental illness is woven throughout the text with candor and eloquence." ---Linda Ware, State University of New York at Geneseo Mad at School explores the contested boundaries between disability, illness, and mental illness in the setting of U.S. higher education. Much of the research and teaching within disability studies assumes a disabled body but a rational and energetic (an "agile") mind. In Mad at School, scholar and disabilities activist Margaret Price asks: How might our education practices change if we understood disability to incorporate the disabled mind? Mental disability (more often called "mental illness") is a topic of fast-growing interest in all spheres of American culture, including popular, governmental, aesthetic, and academic. Mad at School is a close study of the ways that mental disabilities impact academic culture. Investigating spaces including classrooms, faculty meeting rooms, and job searches, Price challenges her readers to reconsider long-held values of academic life, including productivity, participation, security, and independence. Ultimately, she argues that academic discourse both produces and is produced by a tacitly privileged "able mind," and that U.S. higher education would benefit from practices that create a more accessible academic world. Mad at School is the first book to use a disability-studies perspective to focus on the ways that mental disabilities impact academic culture at institutions of higher education. Individual chapters examine the language used to denote mental disability; the role of "participation" and "presence" in student learning; the role of "collegiality" in faculty work; the controversy over "security" and free speech that has arisen in the wake of recent school shootings; and the marginalized status of independent scholars with mental disabilities. Margaret Price is Associate Professor of English at Spelman College.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.206 | 0.065 |
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".