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Record W3036246901 · doi:10.1017/s0008423920000621

COVID-19, Fiscal Federalism and Provincial Debt: Have We Reached a Critical Juncture?

2020· article· en· W3036246901 on OpenAlexaffabout
Kyle Hanniman

Bibliographic record

VenueCanadian Journal of Political Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsQueen's University
Fundersnot available
KeywordsFiscal sustainabilityFiscal federalismDebtOddsFederalismJunctureEconomicsSustainabilityFiscal unionEconomic policyPolitical scienceFiscal policyMonetary economicsPoliticsMacroeconomicsLogistic regressionMarket economyLaw

Abstract

fetched live from OpenAlex

In 2019, Canada's gross subnational debt to GDP was well over 40 per cent, easily the highest in the world (see Figure 1). This level will only grow as the provinces grapple with the pandemic and its fiscal effects. Some believe surging provincial debts have brought Canadian federalism to a critical juncture: they have greatly increased the odds of federal measures to stabilize provincial finances. This article assesses this claim. The cleanest and most balanced path to fiscal sustainability is a combination of enhanced federal transfers, which would bolster provincial fiscal capacity, and national fiscal rules, which would constrain provincial borrowing. But the former is unlikely to restore sustainability on its own, and the latter would require a severe provincial debt crisis, which Canada's existing fiscal federal structures can avoid. COVID-19 has increased the odds of certain reforms, and it is difficult to predict their long-run effects. But any obvious paths to fiscal sustainability remain hidden.

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)0.001
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.337
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations11
Published2020
Admission routes2
Has abstractyes

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