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Record W3139759218 · doi:10.1111/cjag.12274

Agriculture after a year with COVID‐19: Any long‐term implications for international trade policy?

2021· article· en· W3139759218 on OpenAlexaffvenueabout
William A. Kerr

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNegotiationDisequilibriumAgriculturePandemicInternational tradeWork (physics)EconomicsCoronavirus disease 2019 (COVID-19)International economicsBusinessPolitical scienceEconomic growthDevelopment economicsGeographyMedicineDisease

Abstract

fetched live from OpenAlex

Abstract Coronavirus disease 2019 (COVID‐19) initiated shocks to the Canadian agri‐food industry moving the sector away from its prepandemic equilibrium. Disequilibrium can mean, postshock, that sectors follow different paths of adjustment. The public and politicians appear to desire that economic activity returns to prepandemic norms—but this is far from assured. In the case of the Canadian agri‐food industry, the postshock path of adjustment appears to be returning to the preshock equilibrium, or near to it. This provides a familiar and stable anchor for those whose lives are otherwise considerably disrupted by the pandemic. The multilateral international trade system has long been in need of reform—reforms that would benefit Canada's agri‐food exporting sector. The pandemic has raised trade issues that require urgent action and some countries see this as an opportunity for reform. Canada has been at the forefront of this activity through the fostering, hosting, and chairing of the Ottawa Group of 13 World Trade Organization members that have been charged with bringing forward proposals for reform that will break the log jam in multilateral negotiations. The work of the Ottawa Group is examined and the likelihood of the initiative succeeding assessed.

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.035
GPT teacher head0.215
Teacher spread0.180 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2021
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomieSame topicCOVID-19 Pandemic ImpactsFrench-language works237,207