Question worth 20 million lives: Why federal housing assistance has not had its Obamacare
Bibliographic record
Abstract
Abstract The equitable character of a policy determines its progressiveness, yet some domestic policies are more equitable than others. The question of how and why this is the case is addressed by studying federal housing and health policies in the United States, a critical case known for its rampant inequalities in both sectors. Although social equity is a fundamental aspect of welfare provision, explaining differences in coverage and government support among policy areas remains a weakness in the literature. This comparative historical analysis shows that both housing assistance and health care suffered from inequities almost as early as their inception. But a progressive reform took shape with the Affordable Care Act (ACA) and extended coverage to 20 million people formerly uninsured. This essay tackles an unsolved puzzle: Why has such grand policy reform never taken place in housing where more than 20 million people are eligible for assistance but do not receive help? We found that it is largely explained by housing assistance distinctiveness with regard to its weak constituency, racial connotation and low public concern. We conclude with the analytical payoffs of studying social equity, both for political scientists and observers of social affairs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".