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Record W2733976491

A Decade of Reforms: Still an Unfinised Plan

2010· article· en· W2733976491 on OpenAlexaboutno aff
Duanjie Chen, Jack Mintz

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate taxTax reformBusinessValue-added taxEconomic policyAd valorem taxTax revenueRevenueTax avoidanceEconomicsMarket economyFinancePublic economics
DOInot available

Abstract

fetched live from OpenAlex

In the past decade, Canada has undertaken extensive business tax reform, with sharply lower corporate income tax rates, better capital cost allowances, sales tax harmonization, and the virtual elimination of capital tax on non-financial businesses. Further changes are in store by 2012 that will put Canada in the middle of the pack of a broad group of 80 countries. Over the past several years, however, Canada has lost some standing. In 2005, it was the fourth-highest-taxed country, and by 2007 it had improved to thirteenth highest; by 2009, though, it had worsened to tenth highest. Still, in that year, taking into account the reforms that had taken place, Canada’s business tax structure was better than that of the United States. Canada’s tax competitiveness among the Group-of-7 major industrialized countries has also improved, but still lags that of most other members of the Organisation for Economic Cooperation and Development (OECD). Additional reductions of business taxes by 2013 — particularly sales tax harmonization in Ontario and British Columbia and planned federal and provincial corporate tax rate reductions — will further improve Canada’s business tax competitiveness, crucially with respect to the emerging economies of Brazil, Russia, India, and China. Yet federal opposition parties are urging an end to further planned reductions of federal and provincial corporate income tax rates. Such a move would be seriously misguided. Not only would it put Canada’s tax competitiveness at a disadvantage among OECD countries, impairing productivity; it would also harm government revenues as businesses shifted their profits out of high-tax jurisdictions and into lower-tax one abroad.

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)0.027
metaresearch head score (Gemma)0.045
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.985
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.045
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0100.011
Scholarly communication0.0240.031
Open science0.0050.014
Research integrity0.0200.034
Insufficient payload (model declined to judge)0.0270.009

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 head0.024
GPT teacher head0.308
Teacher spread0.285 · 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
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

Citations0
Published2010
Admission routes1
Has abstractyes

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