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Record W2751690197 · doi:10.3138/utlj.67.3

THE USES AND LIMITS OF LEGALISM: ON PATRICK MACKLEM’S <i>THE SOVEREIGNTY OF HUMAN RIGHTS</i>

2017· article· en· W2751690197 on OpenAlexvenueno aff
Jean L. Cohen

Bibliographic record

VenueUniversity of Toronto Law Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsLawInternational human rights lawPolitical scienceSovereigntyInternational lawLegalism (Western philosophy)Reservation of rightsPrinciple of legalityFundamental rightsRight to propertyPoliticsNormativeLaw and economicsSociology

Abstract

fetched live from OpenAlex

Human rights have become the language of justice in our globalizing world. Yet, curiously, despite many rounds of debate over moral versus political conceptions, little attention has been paid to the meaning of human rights as international legal concepts. The specific normative significance of the fact that human rights are legal norms of the international legal order and the implications this has for the nature and justice of that order has gotten lost in the fray. This article addresses Patrick Macklem’s excellent attempt to fill that gap. He is right that a key function of international human rights law is to mitigate the injustices of an international legal order that distributes sovereignty to states. A legal conception of human rights is indeed needed to get at the distinctive normative role international human rights documents play as law. But I argue that, while such an analysis can and must supplement other approaches, no adequate understanding of human rights as international legal norms can dispense with moral justifications of them. Otherwise, the purpose and specificity of human rights as distinct from the rights of corporations and other non-human entities gets obscured and the priority of the human rights of human persons, vis-à-vis other legal persons, is undermined.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.617
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.280
Teacher spread0.257 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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