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Record W4312350948 · doi:10.14296/ac.v3i2.5409

Ethical Limits of Pandemic Governance

2022· article· en· W4312350948 on OpenAlexaff
Nergis Canefe

Bibliographic record

VenueAmicus Curiae · 2022
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsYork University
Fundersnot available
KeywordsRefugeeInvisibilityPolitical sciencePandemicContext (archaeology)Stateless protocolEconomic JusticeCorporate governanceIsolation (microbiology)LawCoronavirus disease 2019 (COVID-19)SociologyState (computer science)GeographyBusiness

Abstract

fetched live from OpenAlex

This article explores the context-bound qualities of the legally sanctified practices of ‘quarantine’ and border closures as it examines the normalized invisibility of populations on the move who have not been ‘protected’ through the use of such standard Covid-19 measures. Inside national borders, isolation and quarantine orders are traditionally issued by states in accordance with the state’s broad powers to protect public health. Throughout the Covid-19 pandemic, these orders have been either not applied to or on certain occasions intervened with or suspended when a quarantine was deemed unreasonable or inapplicable with reference to migrants, refugees and displaced people. The article proposes a redefinition of death as ‘death-in-living’ and ‘grievable lives’ as ‘disposable lives’ in order to understand the conundrum concerning the selective application of Covid-19 measures to irregular migrants, refugees, undocumented and non-status peoples and stateless communities. Legal responses to the pandemic continue to have a far greater impact upon populations on the move, displaced communities and refugees in radically unequal ways. The article reveals the ethical limitations of global pandemic governance in terms of how legal and policy-based practices systemically fail and desert certain populations and advances a notion of justice that starts from a deeper understanding of existing injustices. Keywords: global governance; death-in-living; grievable lives; populations on the move; Covid-19 pandemic; ethical limits of 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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.352
Teacher spread0.314 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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