Disagreement in Assessing Neighboring and Collective Efficacy: The Role of Social Distance
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
Whereas existing research typically treats variability in residents’ reports of collective efficacy and neighboring as measurement error, the authors consider such variability as of substantive interest in itself. This variability may indicate disagreement among residents with implications for the neighborhood collectivity. The authors propose using a general measure of social distance based on several social dimensions (rather than measures based on a single dimension such as racial/ethnic heterogeneity or income inequality) to help understand this variability in assessments. The authors use data from wave I (2001) of the Los Angeles Family and Neighborhood Survey ( n = 3,570) to aggregate respondents into egohoods of two different sizes: quarter-mile and half-mile radii. Consistent with expectations, neighborhoods with higher levels of general social distance have higher variability in reports of neighboring and the two components of collective efficacy, cohesion and informal social control.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| 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