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Record W1581033623 · doi:10.1017/cbo9781107565272

Proportionality and the Rule of Law

2014· book· en· W1581033623 on OpenAlexaffabout
Grant Huscroft, Grégoire Webber, Bradley W. Miller

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsQueen's UniversityWestern University
Fundersnot available
KeywordsProportionality (law)Human rightsLawPolitical scienceJurisprudenceAppealDoctrinePoliticsTreatyConstitutional lawRule of lawLaw and economicsSociology

Abstract

fetched live from OpenAlex

To speak of human rights in the twenty-first century is to speak of proportionality. Proportionality has been received into the constitutional doctrine of courts in continental Europe, the United Kingdom, Canada, New Zealand, Israel, South Africa, and the United States, as well as the jurisprudence of treaty-based legal systems such as the European Convention on Human Rights. Proportionality provides a common analytical framework for resolving the great moral and political questions confronting political communities. But behind the singular appeal to proportionality lurks a range of different understandings. This volume brings together many of the world's leading constitutional theorists - proponents and critics of proportionality - to debate the merits of proportionality, the nature of rights, the practice of judicial review, and moral and legal reasoning. Their essays provide important new perspectives on this leading doctrine in human rights law.

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)0.006
metaresearch head score (Gemma)0.012
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 score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.034
Scholarly communication0.0100.010
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.002

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 head0.025
GPT teacher head0.231
Teacher spread0.206 · 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

Citations101
Published2014
Admission routes2
Has abstractyes

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