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Record W3045274664 · doi:10.18254/s207054760010433-3

Canada’s Economy and Government Policies in the Times of the COVID-19 Pandemic

2020· article· en· W3045274664 on OpenAlexaboutno aff
Lyudmila Nemova

Bibliographic record

VenueRussia and America in the 21st Century · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRecessionPandemicPaceEconomic recoveryGovernment (linguistics)Coronavirus disease 2019 (COVID-19)Financial crisisBusinessQuarantineEconomic policyEconomic growthDevelopment economicsPolitical scienceEconomicsEconomyGeography

Abstract

fetched live from OpenAlex

The outbreak of the COVID-19 pandemic was registered in the central regions of Canada in mid-March 2020. As was agreed between the federal government and the provinces, the latter in cooperation with municipalities are responsible for defining and implementing the necessary restrictions aimed at combating pandemic and regulating a gradual re-opening of the economy after the strict quarantine is over. At the same time, the central government took most of the financial and organizational responsibility for actions to support individuals and businesses affected by COVID-19. The author looks at the changes in economic situation in Canada in the first half of the 2020 as the evolving global pandemic crisis has been shutting down many industries and disrupting the transnational supply chains. Then follows an overview of the most recent forecasts of the depth and length of recession as well as the possible timing and pace of economic recovery in Canada. The concluding part of the article analyzes the contents and the initial economic, social, and financial implications of a host of the federal aid programs included in Canada’s COVID-19 Economic Response Plan.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.760
Threshold uncertainty score0.157

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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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