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Record W4213312182 · doi:10.1080/08865655.2022.2038230

Sieve or Shield? High Tech Firms and Entrepreneurs and the Impacts of COVID 19 on North American Border Regions

2022· article· en· W4213312182 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Borderlands Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsThrivingNegotiationAgency (philosophy)Coronavirus disease 2019 (COVID-19)Political scienceOrder (exchange)Economic geographyInternational tradeEconomyBusinessGeographySociologyEconomicsFinanceLaw

Abstract

fetched live from OpenAlex

This study examines the role of international borders in the era of the Covid-19 pandemic, which led to unprecedented national decisions to close borders in order to contain the domestic contagion. The idea that borders act as shields conflicts with the needs of cross-border regions, as they rely on networks straddling the borders for goods and services’ provisions. This paper explores different approaches at individual, local, and regional policy levels used to counterbalance such impacts. As evidenced by North American border closures to most non-citizens seeking entry (shield effects), it is important to understand how professionals, firms, and their networks exercised various forms of agency (sieve effects) to negotiate the border and its policies during this most unusual time. Drawing from a comparative study between two North American border regions distinguished for their thriving innovative business ecosystems – Cascadia (Seattle-Vancouver) along the Canada-U.S. border and Calibaja (San Diego-Tijuana) along the Mexico-U.S. border – we seek to understand how COVID-19 measures have influenced cross-border economies through unprecedented responses to crisis management.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.000
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 head0.030
GPT teacher head0.375
Teacher spread0.345 · 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