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Record W3115883702 · doi:10.3389/fhumd.2020.609694

(In)Essential Bordering: Canada, COVID, and Mobility

2020· article· en· W3115883702 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFrontiers in Human Dynamics · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of Toronto
FundersPierre Elliott Trudeau FoundationAustralian GovernmentGovernment of CanadaCanadian Institute for Advanced Research
KeywordsCoronavirus disease 2019 (COVID-19)SubsidyPolitical sciencePoliticsClosure (psychology)Norm (philosophy)PandemicPolitical economyDevelopment economicsEconomic growthSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

The global migration of COVID-19 not only disrupted transborder movement. In many (if not most) states, statis, and closure became the default norm at and within borders. This, in turn, generated exceptions organized around an idea of “essential” entry. The category of “essential” was produced, revised, and represented through the interaction of pandemic-driven exigencies and nationally specific configurations of the legal, political, and economic forces in play. To understand how the admission into Canada of certain people was accepted as legally, economically and/or politically essential, one must take account of Canada's character as a settler society, its economic integration with the United States, and its growing dependence on migrant workers and international students to subsidize food production and higher education for nationals.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.459

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 integrity0.0000.000
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 head0.015
GPT teacher head0.279
Teacher spread0.265 · 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