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Record W1409321331 · doi:10.60082/2817-5069.2817

Tax Law within the Larger Legal System

2015· article· en· W1409321331 on OpenAlexaffvenueabout
J. Scott Wilkie, Peter W. Hogg

Bibliographic record

VenueOsgoode Hall law journal · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsYork University
Fundersnot available
KeywordsNeutralityEquity (law)CharterTax lawLaw and economicsLawBusinessEconomicsDouble taxationPolitical science

Abstract

fetched live from OpenAlex

Tax law may be viewed as occupying its own universe, even though tax funds the implementation of public policies that animate Canadian society. This article reminds us that tax law must respond to basic rule-of-law norms in spite of overarching and well-meaning policy goals. It adopts reference points featured in recent cases. One is the Charter, which limits penalties that can be imposed on non-compliant taxpayers and tax advisers without adhering to due process safeguards. Another is the impact of international arrangements among countries in a global business environment to guide consistent regulatory responses and to identify and share information. No matter how seemingly efficient or well-grounded, international norms still need to be safely grounded in Parliamentary authority to be enforceable in relation to Canadian taxpayers. All practitioners concerned with tax equity, neutrality, and efficiency should remember that tax law exists within a larger legal system and must be so evaluated; occasionally, it must yield to the legal principles underlying that system.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.113
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0110.029
Scholarly communication0.0190.014
Open science0.0020.005
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0120.002

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 head0.027
GPT teacher head0.231
Teacher spread0.204 · 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

Citations2
Published2015
Admission routes3
Has abstractyes

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