MétaCan
Menu
Back to cohort
Record W3181723424 · doi:10.1136/bmjgh-2021-006701

Mere rhetoric? Using solidarity as a moral guide for deliberations on border closures, border reopenings and travel restrictions in the age of COVID-19

2021· article· en· W3181723424 on OpenAlexaff
Diego S. Silva, Carly Jackson, Maxwell J. Smith

Bibliographic record

VenueBMJ Global Health · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsWestern UniversityPublic Health OntarioUniversity of Toronto
FundersWorld Health Organization
KeywordsSolidarityContext (archaeology)Political scienceGlobal healthPandemicGovernment (linguistics)RhetoricState (computer science)SovereigntyCoronavirus disease 2019 (COVID-19)LawLaw and economicsSociologyPoliticsHealth careMedicineGeography

Abstract

fetched live from OpenAlex

Using solidarity as a moral guide for deliberations on border closures, border reopenings and travel restrictions in the age of 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.

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)0.116
metaresearch head score (Gemma)0.118
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.116
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1160.118
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0280.141
Scholarly communication0.0320.043
Open science0.0050.018
Research integrity0.0270.044
Insufficient payload (model declined to judge)0.0090.004

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 head0.102
GPT teacher head0.497
Teacher spread0.395 · 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 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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBMJ Global HealthSame topicGlobal Security and Public HealthFrench-language works237,207