MétaCan
Menu
Back to cohort
Record W4390350263 · doi:10.1016/j.jmh.2023.100210

Critical perspectives on migrants, migration, and COVID-19 vaccination editorial for special issue

2023· editorial· en· W4390350263 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Migration and Health · 2023
Typeeditorial
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGlobeRefugeeCoronavirus disease 2019 (COVID-19)PoliticsPolitical sciencePandemic2019-20 coronavirus outbreakSociologyDevelopment economicsGender studiesEconomic growthPolitical economyMedicineLawVirology

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has exposed-and exacerbated-major health inequities around the globe including amongst many persons framed as 'migrants whose lives are shaped by discursive legal, political, and social meanings and legal statuses that situate them within local, national, and global hierarchies. This special issue is dedicated to critical analyses of the roll-out of COVID-19 vaccinations in relation to migrants and other minorities associated with migration, and how migrant groups have been considered and neglected by national and global COVID-19 responses. Drawing from work with asylum seekers, internal and international migrants-both documented and undocumented-in countries ranging from Greece, Japan, and India to Thailand and Canada, authors in this special issue apply critical political economic, feminist, and intersectional lenses to examinations of migrants, migration, and COVID-19 vaccinations.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.041
GPT teacher head0.440
Teacher spread0.399 · 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