Welfare Neighborhoods: Anatomy of a Concept
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
ABSTRACT This paper conceptualizes welfare neighborhoods–places where welfare payments have deeply insinuated themselves into the local economy and survival strategies of the poor. Moving beyond Wilson's concept of concentrated poverty, I recognize the diversity and heterogeneity of impoverished neighborhoods, as well as more fully develop the relationship between welfare and place. I propose three welfare neighborhood types–the jobless ghetto, immigrant enclave and service-dependent ghetto–which are then explored using 2000 census data and a k-means cluster analysis. I identify and map the three sets of welfare neighborhoods in the two most populous urban jurisdictions in the United States, New York City and Los Angeles County. In the conclusion, I emphasize the pressing issue of federal welfare reform, of how its most recent phase further thrusts welfare neighborhoods into the unfamiliar role of being catalysts for job creation and personal transformation.
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) | 0.001 | 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