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 argues that a neighborhood's resiliency depends on the stability of its initial equilibrium state. A neighborhood that possesses a large stock of social and physical capital is not easily dislodged from its beneficial equilibrium, but if dislodged by adverse shocks, its reservoir of capital enables it to return to its initial equilibrium. In the opposite case, a neighborhood severely deprived of social and physical capital and which crosses a critical threshold is not easily dislodged from its harmful equilibrium. The paper first analyzes the properties of resilient neighborhoods, arguing that an increment in any one of them will increase resiliency. Then it argues that ceteris paribus, public and corporate policies that result in an increase in resources will strengthen these properties, while opposite policies will weaken them, and beyond a critical threshold, will result in a "lock-in" effect whereby the neighborhood loses its capacity to bounce back from adversity. Key Words: Neighborhoodresiliencyhuman and social capitalmacro socio-economic policies
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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.007 |
| 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