Protective legislation: The “third pillar” of the welfare state
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
Abstract Welfare states are built upon three central social policy pillars: (1) income programs , including an assortment of income maintenance and security benefits; (2) social services , comprising a diverse constellation of provisions, which furnish care such as health care and education, and “in kind” benefits; and (3) protective legislation , encompassing a dense web of proactive and preventative laws, rights, and entitlements, such as health and safety legislation, minimum wage laws, child protection acts, rent controls, and laws governing evictions and foreclosures. Despite its centrality to the welfare state and to our well‐being, this third pillar has received considerably less attention in comparative social policy research. The dominant welfare state typologies have focused almost exclusively upon income measures and, more recently, on social services, to construct their welfare state categories or “worlds” of welfare while largely neglecting this crucial third pillar. A greater focus on protective welfare legislation can help sharpen the distinctions among welfare states within and across the welfare worlds, which is particularly valuable in light of the ongoing erosion of the other two pillars over the past few decades.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| 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