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Record W1512598387

Rectification of Tax Mistakes Versus Retroactive Tax Laws: Reconciling Competing Visions of the Rule of Law

2013· preprint· en· W1512598387 on OpenAlexaffabout
Catherine Brown, Arthur J. Cockfield

Bibliographic record

VenueRePEc: Research Papers in Economics · 2013
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsQueen's UniversityUniversity of Calgary
Fundersnot available
KeywordsPolitical scienceLegislationPropositionHumanitiesLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This article examines the potential conflict between the right of the provinces to determine property rights, including the equitable right of rectification, and the federal government's right to enact retroactive tax legislation. It poses a hypothetical question: Does rectification provide the appropriate remedy for the "unfairness" of retroactive legislation to taxpayers who intend and plan their transactions to minimize or avoid tax? The article reviews the trend toward the judicial broadening of rectification remedies in tax cases, as well as perspectives on reliance on the rule of law to determine if and when rectification would be appropriate. The authors conclude that, in certain circumstances, a provincial court could and should rectify a tax plan to counter the effects of a retroactive tax that does not target abusive tax planning, such as Quebec's proposed (and subsequently withdrawn) tax increase aimed at high income earners.

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)0.031
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.139
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.051
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0090.064
Scholarly communication0.0220.013
Open science0.0040.005
Research integrity0.0110.013
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.311
Teacher spread0.249 · 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 designTheoretical or conceptual
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

Citations0
Published2013
Admission routes2
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicTaxation and Legal IssuesFrench-language works237,207