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Record W2096428617 · doi:10.1093/icon/moi051

Parliament and the Human Rights Act: Can the JCHR help facilitate a culture of rights?

2006· article· en· W2096428617 on OpenAlexaff
Janet L. Hiebert

Bibliographic record

VenueInternational Journal of Constitutional Law · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsHuman rightsParliamentary sovereigntyInternational human rights lawReservation of rightsFundamental rightsPolitical scienceLawParliamentLinguistic rightsBill of rightsRight to propertyConventionLegislationRights of NatureState (computer science)PoliticsLaw and economicsSociology

Abstract

fetched live from OpenAlex

The United Kingdom has overcome its historic antipathy to a domestic bill of rights. Its recently adopted Human Rights Act (HRA) is distinctly different from the world's best-known rights instrument, the United States Bill of Rights. Faced with inherent doubts about the desirability of abandoning the principle of parliamentary sovereignty in favor of judicial supremacy, and with mounting international and domestic pressures to articulate rights for the purposes of constraining state actions, the United Kingdom incorporated the European Convention on Human Rights into domestic law. But in so doing, it has developed an innovative approach to protecting rights. This model makes a key assumption—that rights will be protected not simply through after-the-fact evaluations by courts but by establishing opportunities and obligations for rights review by ministers, parliamentarians, and public authorities that are distinct from, and prior to, judicial review. The paper assesses the HRA's early effects on political behavior and focuses on the work of the recently created Joint Committee on Human Rights, which plays a pivotal role in ensuring that the government explains and justifies proposed legislation in terms of its consistency with rights.

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)0.040
metaresearch head score (Gemma)0.099
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 score0.040
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.099
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0120.040
Scholarly communication0.0310.025
Open science0.0020.010
Research integrity0.0260.020
Insufficient payload (model declined to judge)0.0130.004

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 head0.018
GPT teacher head0.285
Teacher spread0.267 · 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

Citations33
Published2006
Admission routes1
Has abstractyes

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