Demolition as urban policy in the American Rust Belt
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
Demolition has long been a component of urban policy in the United States and elsewhere. Until recently, however, demolition was seen as a mere component of a wider policy—e.g. the first step to build an affordable housing complex, or a revived commercial strip. Recently some have suggested that demolition can have stand-alone regenerative effects—that is, if blighted housing is demolished, surrounding markets and neighborhoods will heal and regenerate without further intervention. This article challenges this logic by examining neighborhoods in the American Rust Belt where ad hoc demolition has been the predominant urban policy in the past 40 years. In total, there are 269 neighborhoods in 49 cities that have lost more than 50% of their housing since 1970. In aggregate, these activities have led to more housing loss, and affected more land area than even the urban renewal period, yet have not led to market rebound or a decrease in social marginality.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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