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Record W3085674873 · doi:10.1136/bmjgh-2020-003359

Health and human rights are inextricably linked in the COVID-19 response

2020· review· en· W3085674873 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMJ Global Health · 2020
Typereview
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsHuman rightsSolidarityPandemicPublic healthCoronavirus disease 2019 (COVID-19)Government (linguistics)Political sciencePublic administrationLawPoliticsMedicineNursing

Abstract

fetched live from OpenAlex

To mitigate the spread of COVID-19, governments throughout the world have introduced emergency measures that constrain individual freedoms, social and economic rights and global solidarity. These regulatory measures have closed schools, workplaces and transit systems, cancelled public gatherings, introduced mandatory home confinement and deployed large-scale electronic surveillance. In doing so, human rights obligations are rarely addressed, despite how significantly they are impacted by the pandemic response. The norms and principles of human rights should guide government responses to COVID-19, with these rights strengthening the public health response to COVID-19.

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.

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)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.003
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.164
GPT teacher head0.530
Teacher spread0.366 · 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