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Record W108796889 · doi:10.3138/9781442683822

NAFTA Tax Law and Policy: Resolving the Clash between Economic and Sovereignty Interests

2005· book· en· W108796889 on OpenAlexaffabout
Arthur J. Cockfield

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsDouble taxationInternational economicsTax reformWithholding taxTax treatyInternational tradeEconomicsAd valorem taxTax harmonizationBusinessInternational taxationValue-added taxTax policyDirect taxTax competitionPublic economics

Abstract

fetched live from OpenAlex

Under the North American Free Trade Agreement (NAFTA), Canada, the United States, and Mexico continue to maintain their own distinct tax regimes, jealously guarding their sovereign right to do so. At times, these different tax systems harm the economic welfare of the trade bloc by imposing barriers to cross-border flows of capital. In NAFTA Tax Law and Policy, Arthur J. Cockfield analyzes these different tax systems and proposes a number of recommendations to reduce the harm caused by these barriers. Cockfield argues that it is unrealistic to expect the NAFTA countries to negotiate comprehensive reform efforts such as full-fledged tax harmonization. Rather, a strategy of heightened multilateral tax coordination is the appropriate solution as it permits the countries to maintain national tax differences, but strives to smooth over many of the problems created by the interaction of the tax regimes. The NAFTA countries should promote binding arbitration for transfer pricing disputes, multilateral tax treaty negotiations, the elimination of parent/subsidiary dividend withholding taxes, and enhanced administrative cooperation to reduce tax compliance costs for multinational firms. Only then, can NAFTA function in the way it was designed to.

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)0.002
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.915
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.004
Scholarly communication0.0080.007
Open science0.0010.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0070.003

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 head0.018
GPT teacher head0.244
Teacher spread0.226 · 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
GenreOther

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

Citations4
Published2005
Admission routes2
Has abstractyes

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