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Record W4406268841 · doi:10.4337/jghl.2024.02.03

The evolving international law standards governing restrictions of economic, social, and cultural rights during public health emergencies

2024· article· en· W4406268841 on OpenAlexaff
Lisa Forman

Bibliographic record

VenueJournal of Global Health Law · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsHuman rightsCultural rightsInternational human rights lawProportionality (law)Political scienceFundamental rightsLawFraming (construction)Reservation of rightsSocial rightsJurisprudenceRight to propertyLaw and economicsSociology

Abstract

fetched live from OpenAlex

While COVID-19 lockdowns extensively disrupted health services, food supply, and education, such disruptions are rarely framed as human rights restrictions or derogations. I argue that this silence is rooted in contrasting limitations regimes that arose from Cold War disputes framing these rights as progressive, programmatic, and non-justiciable. In this paper, I analyze the evolution of standards on restrictions of social rights during a public health emergency. First, I compare legal regimes in the two primary covenants, and what drafting history illuminates about the reasons for these differences. I then compare these to the regional human rights systems. Second, I consider interpretations of restrictions under both covenants, focusing on the Committee on Economic, Social, and Cultural Rights’ general comments and emerging Optional Protocol jurisprudence. Third, I analyze what these interpretations indicate about the international law standards for restrictions of these rights during a public health emergency. I find that these legal criteria increasingly recognize their evolving nature as justiciable rights that impose clear obligations. However essential components like core obligations and public health crisis must be further developed as key dimensions of economic, social, and cultural rights-related proportionality.

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)0.002
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: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.399
Teacher spread0.356 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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