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Record W3151256108

Financing Confederation Revisited: The Economic State of the Federation

2001· preprint· en· W3151256108 on OpenAlexaboutno aff
Robin Boadway

Bibliographic record

VenueRePEc: Research Papers in Economics · 2001
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationEquity (law)NegotiationGovernment (linguistics)EconomicsEconomic policyEconomic powerPoliticsState (computer science)Political scienceBusinessPublic administrationMarket economyLaw
DOInot available

Abstract

fetched live from OpenAlex

Robin Boadway examines the development of fiscal arrangements and considers the substantial fiscal decentralization that has occurred in Canada over the past 20 years. Boadway makes the case that the fiscal arrangements have played an important role in improving the performance of the Canadian economy with respect to both equity and efficiency. But he also observes that over this period our federation has become the most decentralized federation in the world. Looking forward, he sees major challenges facing the fiscal arrangements. The equalization system and the political will to maintain it are in peril at the same time as disparities are likely to increase. The federal government has effectively lost control of the spending power, which has historically been one of the most powerful instruments at the hands of the federal government for managing the federation. This has left the federal government with no effective mechanism for managing the economic union. The income tax system is becoming disharmonized as provinces are engaged in competitive reductions in income tax progressivity. Attempts to arrive at cooperative solutions by federal-provincial negotiation have not been successful. Boadway believes that the decentralized Canadian federation could evolve into one in which the provinces behave “cooperatively” with respect to the national objectives of equity and efficiency. However, he sees little evidence that this is happening, and argues that an overall vision is needed. Unfortunately, Canada does not have an institution like the former Economic Council that is currently capable of developing such a vision.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.927
Threshold uncertainty score0.528

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0160.014
Scholarly communication0.0160.007
Open science0.0020.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.000

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 head0.034
GPT teacher head0.334
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), 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
Published2001
Admission routes1
Has abstractyes

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