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Record W3174217912 · doi:10.32866/001c.24958

The Impact of COVID-19 on the Movement of Trucks Between Canada and the US: Evidence from the Ambassador Bridge

2021· article· en· W3174217912 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

VenueFindings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTruckCoronavirus disease 2019 (COVID-19)Bridge (graph theory)Pandemic2019-20 coronavirus outbreakGeographyTraffic volumeSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Transport engineeringEngineeringMedicineVirologyOutbreak

Abstract

fetched live from OpenAlex

The ongoing COVID-19 pandemic has closed land borders for non-essential travel between Canada and the US since the middle of March 2020. This paper explores if the pandemic has had a significant impact on the patterns of truck movements between the two countries. The volume of trucks that crossed the Ambassador Bridge (busiest land border in Canada) between August 1, 2019 and February 28, 2021 is analyzed. We found that truck volume dropped only during the first two months of the pandemic. Truck traffic increased significantly in May to reach higher than normal levels and then normalized after November 2020.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.086
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.050
GPT teacher head0.332
Teacher spread0.281 · 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