Social welfare matters: A realist review of when, how, and why unemployment insurance impacts poverty and health
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
The recent global recession and concurrent rise in job loss makes unemployment insurance (UI) increasingly important to smooth patterns of consumption and keep households from experiencing extreme material poverty. In this paper, we undertake a realist review to produce a critical understanding of how and why UI policies impact on poverty and health in different welfare state contexts between 2000 and 2013. We relied on literature and expert interviews to generate an initial theory and set of propositions about how UI might alleviate poverty and mental distress. We then systematically located and synthesized peer-review studies to glean supportive or contradictory evidence for our initial propositions. Poverty and psychological distress, among unemployed and even the employed, are impacted by generosity of UI in terms of eligibility, duration and wage replacement levels. Though unemployment benefits are not intended to compensate fully for a loss of earnings, generous UI programs can moderate harmful consequences of unemployment.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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