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Record W2998716054 · doi:10.1177/0964663919894734

Towards a Post-Social Right to Life, Liberty and Security of the Person Through Markets? Conceptions of Citizenship and the Implications for Health Law as Governance

2019· article· en· W2998716054 on OpenAlexaffabout
Karl Guebert

Bibliographic record

VenueSocial & Legal Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRight to healthCitizenshipCorporate governanceHealth careCharterSocial rightsSocial securityLawContext (archaeology)Law and economicsPolitical scienceSociologyHuman rightsBusinessPolitics

Abstract

fetched live from OpenAlex

In the context of increased expectations of healthcare services and fiscal pressures, rights claims constitute a force pushing for privatization and thus threaten Canada’s single-tier public system. This article introduces the concept of a ‘post-social right’ to understand the current legal effort to enforce a right to healthcare derivative of section 7 of the Canadian Charter of Rights and Freedoms. Commonly considered as a ‘negative’ right, I suggest that the right also has positive capacity. Rather than simply protecting against unjust state intervention, section 7 claims valorize a particular mode of sustaining life, liberty and security of the person according to neo-liberal principles. A right to markets in healthcare aligns health law with the logic of prudentialism as a technology of governance. As the enforceability of the right expands and strengthens, health law as governance operates to normalize market solutions to health matters. It follows that a form of two-tier citizenship arises, dividing ‘activated’ citizens from the ‘inactive’.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.617
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.388
Teacher spread0.341 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2019
Admission routes2
Has abstractyes

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