Language, Agglomeration and Hispanic Homeownership
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
As of the fourth quarter of 2007, 74.9% of white non‐Hispanic families but only 48.5% of Hispanic families owned homes. We argue that low rates of homeownership in Hispanic communities create a self‐reinforcing mechanism that contributes to this large disparity. In part, this occurs because proximity to other homeowners belonging to a family's social network improves access to information about how to become a homeowner. Role model effects may also be relevant. We investigate these issues using household‐level data on out‐of‐state movers from the 2000 Decennial Census. Three especially important results are obtained. First, proximity to Hispanic homeowners in the 1995 place of residence increases the propensity of a Hispanic family to own a home in 2000. Second, that effect is especially strong with respect to proximity to weak English‐speaking Hispanic homeowners. Third, these patterns hold regardless of the Hispanic family's own ability to speak English. From a policy perspective, these results suggest that local programs designed to promote homeownership among weak English‐speaking Hispanic families likely increase Hispanic homeownership beyond just the immediate program participants.
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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 | 0.000 | 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) | 0.000 | 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