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Record W2170834929 · doi:10.12927/hcpol..17563

Courting Trouble: The Supreme Court's Embrace of Private Health Insurance

2005· article· en· W2170834929 on OpenAlexaffvenue
Colleen M. Flood, Steven Lewis

Bibliographic record

VenueHealthcare policy · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiostatisticsHealth careSupreme courtPolitical scienceHealth policySociologyLawMedicinePublic healthNursing

Abstract

fetched live from OpenAlex

IN the Chaoulli 1 decision struck down Quebec laws prohibiting the sale of private health insurance on the basis that they violate Quebec' s Charter of Human Rights and Freedoms.Three of the four judges in the majority also found that the provisions, in light of wait times in the public sector, violate s. 7 of the Canadian Charter of Rights and Freedoms -which provides for a right to life, liberty and security of the person.But three other judges, in a blistering dissent, found that the insurance restrictions violated neither the Quebec nor the Canadian charters.1. Chaoulli v. Quebec (Attorney General) 2005 SCC 35 (hereinafter Chaoulli).A copy of the judgment and various related materials is available at .

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)0.019
metaresearch head score (Gemma)0.058
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 score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.058
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0160.012
Scholarly communication0.0170.006
Open science0.0040.005
Research integrity0.0380.039
Insufficient payload (model declined to judge)0.0030.001

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 head0.323
Teacher spread0.257 · 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

Citations8
Published2005
Admission routes2
Has abstractyes

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