The Relationship between Government Assistance and Housing Outcomes among Extremely Low-income Individuals: A Qualitative Inquiry in Los Angeles
Why this work is in the frame
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Bibliographic record
Abstract
This paper illustrates the relationship between government assistance (housing subsidies and/or welfare payments) and housing outcomes, using qualitative methods and a sample of 25 extremely low-income, homeless women at an emergency shelter in Central Los Angeles. The paper seeks to illustrate three specific patterns (identified within the larger literature) to this complex and multifaceted relationship: (1) that the presence of housing subsidies promotes the most positive outcomes overall, such as stability and independence; (2) that, in the absence of housing subsidies, the predictability and amount of welfare become critical in promoting positive housing outcomes; and (3) housing outcomes are least positive for those lacking both housing subsidies and welfare payments. Results largely conformed to these expectations, although less so for the last pattern.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 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) | 0.000 | 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