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Record W3112024694 · doi:10.18357/bigr21202019883

The Detroit–Windsor Border and COVID-19

2020· article· en· W3112024694 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBorders in Globalization Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsUniversity of WindsorYork University
Fundersnot available
KeywordsWindsorCoronavirus disease 2019 (COVID-19)Context (archaeology)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GeographyGovernment (linguistics)Closure (psychology)Political scienceOutbreakSocioeconomicsSociologyLawArchaeologyMedicineVirology

Abstract

fetched live from OpenAlex

This brief essay chronicles the closure of the Detroit–Windsor tunnel during the COVID-19 pandemic as part of the Canadian government’s containment measures in the spring/ summer of 2020 from the authors’ perspectives as both residents and researchers living in the border city of Windsor, Ontario (Canada). Drawing upon crossings in March and June 2020 as well as reflections on the urban cross-border context that Windsor and Detroit facilitate, the article details the changes in border operations and the resulting difficulties faced by local communities. In conclusion we point to the current, local quagmire that Windsor–Essex finds itself in, having some of the highest case COVID-19 counts in Canada as of July 2020. Caught between a laissez-faire approach to managing the migrant worker outbreaks in Essex County, and slow-moving county/provincial and federal responses to the pandemic, local attitudes toward reopening the border here seem more divided than in other parts of Canada.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.437
Teacher spread0.400 · 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