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Record W4379536749 · doi:10.21991/cf29453

Federalism and the Paramountcy Doctrine

2023· article· en· W4379536749 on OpenAlexvenueaboutno aff
Jesse Hartery

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineSupreme courtPolitical scienceFederalismLawTrilogySubject (documents)Constitutional lawComputer science

Abstract

fetched live from OpenAlex

Federal systems require individuals to comply with laws enacted by more than one order of government. At times, the laws enacted by each order may overlap, and different approaches have been adopted to deal with this situation. In Canada, this is done through the paramountcy doctrine, which permits a court to render a law inoperative when faced with two valid but conflicting laws adopted by different orders of government. However, despite being a staple of constitutional law for over a century, the paramountcy doctrine has been the subject of important doctrinal fluctuations over the years. For the time being, the doctrine includes a narrow branch known as the operational conflict branch and a broader — and sometimes controversial — branch known as the federal purpose branch. In its 2015 trilogy on the subject, the Supreme Court of Canada clarified the precise parameters of the doctrine while also noting in obiter that further doctrinal change may be on the horizon.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.102
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.032
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.293
Teacher spread0.271 · 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
Published2023
Admission routes2
Has abstractyes

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