Neighborhood Disadvantage, Network Social Capital, and Depressive Symptoms
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
Research on why neighborhood disadvantage matters for health focuses on the capacity of neighborhoods to regulate residents' behavior through informal social control. The authors extend this research by conducting a multilevel analysis of data from a 1995 telephone survey of 497 residents of 32 neighborhoods in a U.S. city. The authors find that network social capital mediates the contextual effect of neighborhood disadvantage on depressive symptoms and that health effects of network social capital persist when perceived neighborhood disorder, a standard indicator of low informal social control, is controlled for. The findings demonstrate the value of a conceptualization and measurement of network social capital that (1) considers ties that transcend neighborhood boundaries, (2) investigates health benefits of network social capital in the forms of closure and embedded support resources and range and embedded instrumental resources, and (3) uses network data on specific network members with strong and weak ties to respondents.
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 | 0.001 | 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 | 0.002 | 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