Suburbanization and Home Ownership: The Spatial Assimilation Process in U.S. Metropolitan Areas
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
This article provides a detailed picture of spatial assimilation by simultaneously considering suburbanization and home ownership in order to model the complexity of residential patterns in modern society. The data are from the 1% Sample of the 1990 PUMS. Multinominal logit analyses were used to estimate the effects of socioeconomic level, acculturation characteristics, and race/ethnicity on the likelihood of householders being home owners or renters by housing locations. The results show that these factors affect the likelihood of householders living in suburbs for each tenure status in unique ways. Second, contrary to the spatial assimilation model, there is evidence that householders who are more acculturated and have more socioeconomic resources would rather be home owners in the central city than live in the suburbs as renters. Finally, the results also suggest extensive differences across racial groups in the effects of socioeconomic resources and acculturation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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