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Record W2740757732 · doi:10.1177/0043820017715570

WHY ARE THERE NO UNIVERSAL SOCIAL PROGRAMS IN THE UNITED STATES?: A Historical Institutionalist Comparison with Canada

2017· article· en· W2740757732 on OpenAlex
Daniel Béland, Alex Waddan

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Affairs · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSocial policyCitizenshipSocial WelfarePolitical scienceSocial citizenshipExceptionalismSocial insurancePublic administrationPublic policyWelfare stateWelfareEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

Much has been written about “American exceptionalism” in social policy, but one aspect has received relatively little attention thus far: the absence of universal public social programs where entitlements to benefits and services are derived from citizenship or residency. This absence is especially striking because other liberal welfare regimes such as Canada and the United Kingdom have long developed such programs. Focusing on policy design and using Canada as a contrasting case, this article explains why there are no universal social programs in the United States, a country where the dichotomy between social assistance and social insurance dominates. The empirical analysis focuses on three policy areas: health, pensions, and family benefits. Stressing the impact of institutional factors on policy design, the article adopts a historical institutionalist approach and shows that the explanation for the absence of universal social programs varies from one policy area to the next.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.300
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it