MétaCan
Menu
Back to cohort
Record W1601113901 · doi:10.3138/jcs.41.3.90

On the Road to Medicare: Newfoundland in the 1960s

2007· article· en· W1601113901 on OpenAlexvenueaboutno aff
Linda Kealey, Heather Molyneaux

Bibliographic record

VenueJournal of Canadian Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationModernization theoryHealth carePoliticsGovernment (linguistics)Public administrationRationingEconomic shortagePolitical scienceSociologyEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

Although historians have debated the social, political, and economic consequences of Newfoundland’s decision to join Canada in 1949, very little attention has been devoted to the repercussions of such a change for the new province’s health care system. This essay explores post-war policy debates and initiatives that emerged in the 1950s and 1960s that dealt with shortages of doctors and nurses, the cottage hospital system and its critics, the arrival of hospital insurance, the recommendations of two Royal Commissions and the implementation of universal health insurance. The essay concludes with a discussion of the debate over Medicare that illustrates the tensions and negotiations among the stakeholders, primarily government and the medical profession. These debates reflect earlier tensions between proponents of centralized control and decentralized health care delivery, between local and external models for the health care system, and a continuing focus on shortages of medical personnel as well as the effect of socio-economic conditions on health. Developments in health care post-Confederation form part of a broad modernization thrust with significant and unique challenges for Newfoundland.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0300.011
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.036
GPT teacher head0.300
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207