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Record W3164985285

Judging as Nudging: New Governance Approaches for the Enforcement of Constitutional Social and Economic Rights

2008· article· en· W3164985285 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsMcGill University
Fundersnot available
KeywordsEnforcementMandatePolitical scienceAccountabilityCorporate governanceContext (archaeology)Law and economicsConstitutionGovernment (linguistics)Principal (computer security)Social rightsConstitutional lawJudicial reviewSeparation of powersPublic administrationLawBusinessHuman rightsEconomics
DOInot available

Abstract

fetched live from OpenAlex

There is little agreement among legal thinkers about whether and how courts can competently and legitimately enforce constitutional social and economic rights (SERs). The principal concern is that judicial enforcement would require courts to design and manage costly social welfare programs, tasks for which judges lack the requisite democratic mandate and institutional expertise. However, courts have been increasingly willing to enforce SERs in recent years while remaining mindful of limits on their institutional capacity to do so. This article classifies and critiques the dominant ways that such courts-primarily in Canada, the United States, and South Africa-enforce SERs. It concludes that the prevailing approaches are weakest where governments have done the least to fulfill their constitutional SER obligations. Further, this article identifies emerging approaches that require structured accountability in government efforts toward SER realization. It suggests that these approaches, understood within the context of new governance or theory, better provide for the effective, coherent, and competent enforcement of SERs in the face of government recalcitrance than do the prevailing tools. The paper concludes with a case study assessing the usefulness of experimentalist SER enforcement with reference to a possible right to health under the Canadian Constitution.

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.

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)0.000
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: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.042
GPT teacher head0.281
Teacher spread0.239 · 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