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Record W2567178823 · doi:10.3138/jcs.2016.50.1.129

Douglas versus Manning: The Ideological Battle over Medicare in Postwar Canada

2016· article· en· W2567178823 on OpenAlexvenueaboutno aff
Gregory P. Marchildon

Bibliographic record

VenueJournal of Canadian Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsBattleIdeologyNarrativePoliticsAbdicationInterpretation (philosophy)Economic JusticeSociologyLawPublic administrationHistoryPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The accepted narrative of the history of medicare in Canada does not do justice to the struggle between premiers Tommy Douglas of Saskatchewan and Ernest Manning of Alberta over two very different models of universal health coverage. Douglas and Manning were committed advocates of their respective models for ideological reasons, but these political differences had their origins in their conflicting interpretations of Christian teachings and biblical interpretation. These differences are examined in detail in order to arrive at a richer understanding of the values and the key policy design features of their respective models of medicare. Ultimately, Douglas’s model of medicare would be adopted in the rest of Canada even though Manningcare was the preferred choice of doctors, insurance companies, the business establishment, the majority of provincial governments, and fundamentalist Christians such as Manning who believed that Douglas’s model resulted in an abdication of individual responsibility and moral choice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.287
Teacher spread0.245 · 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 designNot applicable
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

Citations7
Published2016
Admission routes2
Has abstractyes

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