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Record W2795924664

Canada's Landmark Chaoulli Decision: A Vital Blueprint for Change in the Canadian Health Care System

2007· article· en· W2795924664 on OpenAlexaboutno aff
Sierra Dean

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBlueprintLandmarkHealth carePsychologyPolitical scienceGeographyCartographyArtVisual artsLaw
DOInot available

Abstract

fetched live from OpenAlex

A recent decision by the Supreme Court of Canada (the Court) may have done more to transform Canada's health care system than three major government health studies and an infusion of $41 billion into the system. 1 On June 9, 2005, in Chaoulli v. Quebec, the Court invalidated a Quebec law that prohibited residents from buying private health insurance to pay for services already covered under Canada's public health care system. 2 The decision means that the Quebec government can no longer prevent individuals from obtaining private health insurance or force patients to endure unreasonable waiting times for medical services.3 The highly anticipated decision is the first to critically examine the constitutionality of Canada's public health care system.4 It is also the first decision to strike down a health care law shown to result in the suffering and deaths of patients.5 Although the ruling only applies to the province of Quebec, there are growing concerns that it will dramatically alter the entire Canadian health care system.6

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)0.017
metaresearch head score (Gemma)0.041
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0210.015
Scholarly communication0.0200.005
Open science0.0050.006
Research integrity0.0310.027
Insufficient payload (model declined to judge)0.0120.001

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 head0.066
GPT teacher head0.284
Teacher spread0.218 · 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

Citations0
Published2007
Admission routes1
Has abstractno

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