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
What distinguishes resilient small towns from towns that never recover from the shock of a natural disaster or plant closing? We define resilient towns as those that are able to maintain or enhance residents' quality of life after a shock. Previous studies suggest that towns with a combination of moderate bonding social capital, high bridging social capital, and high local capitalism will be more resilient than other shocked towns. These expectations were tested using longitudinal data gathered before and after shocks from a relatively large sample of small rural towns located in one Midwestern state. Findings show that the quality of life declined in all sampled towns over the decade. However among shocked and non-shocked towns alike, higher levels of bonding and bridging social capital in 1994 were associated with less of a decline in quality of life over the decade. These findings suggest that building linkages within groups and across diverse groups is an effective strategy for shock preparedness and for general community betterment.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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