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Record W1858173799 · doi:10.1503/cmaj.050650

The Check-Off: A precursor of medicare in Canada?

2005· article· en· W1858173799 on OpenAlexaffabout
Chryssa McAlister, Peter L. Twohig

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCommissionEconomic JusticeHealth insuranceHealth carePublic healthMedicineFamily medicinePolitical scienceNursingLaw

Abstract

fetched live from OpenAlex

The public system of health care insurance that exists in Canada today was implemented nationally in 1968 and was greatly influenced by the 1964 Royal Commission on Health Services, headed by Justice Emmett Hall. When, in his final report, Justice Hall described the evolution of health care in Canada, he made brief reference to a\nhealth insurance system that existed in the Glace Bay colliery district of Cape Breton. Known as the “Check-Off,” this was a mandatory system whereby deductions were\nmade from miners’ wages for a subscription to physician services, medications and hospital care. A reference to the Check-Off in minutes of the Nova Scotia Provincial Workmen’s\nAssociation suggests that it dates from about 1883, although at least one other historical reference places its origin even earlier, in the mid-19th century. It proved to be a durable system, surviving in Cape Breton mining towns until 1969, when it was replaced by provincial medical insurance administered by Maritime Medical Care.

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)0.009
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 score0.859
Threshold uncertainty score0.996

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0110.004
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.098
GPT teacher head0.421
Teacher spread0.323 · 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

Citations2
Published2005
Admission routes2
Has abstractyes

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