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Record W1966311503 · doi:10.1017/s0008423914000894

The True North Strong and Free Healthcare? Nationalism and Attitudes Towards Private Healthcare Options in Canada

2014· article· en· W1966311503 on OpenAlexaffabout
Yannick Dufresne, Sanjay Jeram, Alexandre Pelletier

Bibliographic record

VenueCanadian Journal of Political Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsArgument (complex analysis)Health carePreferenceWelfareNationalismIdentity (music)Political scienceDemographic economicsEconomicsLawMedicine

Abstract

fetched live from OpenAlex

Abstract This article endeavours to explain why English Canadians and Quebeckers differ in their opinions about private healthcare options. Data indicates that respondents in the nine predominantly English-speaking provinces are more likely to oppose private hospitals than Quebeckers. No one province or region in “English Canada” drives these results: aversion to private hospitals is consistent across the nine provinces. Research on welfare states slots Canada into the “liberal” category, which is indicative of a preference for market solutions to welfare problems, which makes this finding perplexing. The argument presented here is that universal healthcare has become bound up with the national identity of English Canada, resulting in a general aversion to private healthcare initiatives outside of Quebec.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.032
GPT teacher head0.331
Teacher spread0.299 · 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.

Study designObservational
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

Citations24
Published2014
Admission routes2
Has abstractyes

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