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Record W2751126414

The Perils of Federalizing the Common Law: A Case Study of the Income Tax Act Gift Concept

2017· article· en· W2751126414 on OpenAlexaffabout
Kathryn Chan

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLawCommon lawStatutory lawTax lawPolitical sciencePublic lawPrivate lawCivil law (Civil law)Municipal lawComparative lawMeaning (existential)LegislationFederal lawLaw and economicsSociologyTax reformPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Civilian jurists have long been concerned to defend the integrity of the Quebec civil law tradition against the colonizing tendencies of federal legislation and its associated case law. In this piece, I argue that common law jurists should share these concerns. To illustrate this point, I focus on the federal courts’ misuse of the term “common law” to describe the meaning they have attached to the statutory term “gift/don” under sections 110.1 and 118.1 of the federal Income Tax Act. In fact, I argue, the meaning that the Federal Courts have attached to the term gift/don is an “ordinary non-technical” meaning, which is distinct from both the civil law concept of gift set out in the Civil Code of Quebec and the common law concept of gift that forms part of the law of property in Canada’s common law provinces. I describe how the ordinary and common law concepts have elided under Canadian tax law, and describe the doctrinal confusion that has resulted from this elision. Finally, I consider the mischaracterization of the common law of gift from the perspective of tax law’s relationship with the larger legal system. Building on a theme recently taken up by J Scott Wilkie and Peter Hogg, I argue that the mischaracterization of the ITA gift concept matters, both because it creates the impression of a state of affairs that is inconsistent with our constitutional framework, and because it harms the integrity of the private law. I conclude that the federal courts should clarify that the ITA gift concept is an ordinary non-technical concept, even if it forces them to confront difficult questions about its relationship with provincial private law.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0140.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.344
Teacher spread0.316 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2017
Admission routes2
Has abstractyes

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