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Record W2146858425 · doi:10.1017/s0008423902778190

Health Care as Citizenship Development: Examining Social Rights and Entitlement

2002· article· en· W2146858425 on OpenAlexaffabout
Candace Johnson Redden

Bibliographic record

VenueCanadian Journal of Political Science · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsEntitlement (fair division)Right to healthHealth carePolitical scienceCitizenshipIndividualismHealth care reformPoliticsFundamental rightsHuman rightsNormativeLaw and economicsHealth policyLawSociologyEconomics

Abstract

fetched live from OpenAlex

The political importance of rights in liberal democracies, and of universally accessible health care in Canada, are trite observations. However, the increasing use of the language of rights to defend existing patterns of health care in Canada is a curious if not alarming phenomenon. What do citizens mean when they say that they have the right to health care? How can health care rights be defined philosophically and politically? This article examines the increasing popularity of rights claiming for health care, and argues that the ''right to health care'' has a non-possessive, normative nature that is at odds with legalistic individualistic rights claiming. This is a significant philosophical finding, one that informs the political debate over health care by revealing that legal rights claims are not sufficient to defend social entitlements. The conceptual project undertaken in this article illuminates directions of reform and suggests that differentiated citizenship provides a better model than legal rights to guide reform efforts.

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)0.005
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.469

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0100.066
Scholarly communication0.0090.008
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.070
GPT teacher head0.335
Teacher spread0.265 · 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

Citations15
Published2002
Admission routes2
Has abstractyes

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