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Record W2902048484 · doi:10.1080/21699763.2018.1550010

Icon and taboo: single-payer politics in Canada and the US

2018· article· en· W2902048484 on OpenAlexaffabout
Carolyn Hughes Tuohy

Bibliographic record

VenueJournal of International and Comparative Social Policy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTabooPoliticsGovernment (linguistics)Nexus (standard)Health carePopulationState (computer science)IconPublic opinionPolitical sciencePublic administrationSociologyLawDemography

Abstract

fetched live from OpenAlex

Abstract In 1965 and 1966, the United States and Canada adopted single-payer models of government insurance for physician and hospital services – universal in Canada, but restricted to certain population groups in the US. At the time, the American and Canadian political economies of health care and landscapes of public opinion were remarkably similar, and the different policy designs must be understood as products of the distinctive macro-level politics of the day. Subsequently, however, the different scopes of single-payer coverage would drive the two systems in different directions. In Canada, the single-payer system became entrenched in popular support and in the nexus of interest it created between the medical profession and the state. In the US, Medicare became similarly entrenched in popular support, but did so as part of the larger multi-payer private insurance system. In the process universal single-payer coverage became politically iconic in Canada and taboo in the US.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.320

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 studies0.0000.001
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 head0.048
GPT teacher head0.322
Teacher spread0.274 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes2
Has abstractyes

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