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Record W7124434997 · doi:10.26443/law.v70i3.2236

Competing Constitutional Rights

2024· article· en· W7124434997 on OpenAlexvenueaboutno aff
Catherine Oatway

Bibliographic record

VenueMcGill Law Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharterDemocracyLimitingCompetition (biology)State (computer science)Fundamental rights

Abstract

fetched live from OpenAlex

When the state limits a right protected by the Canadian Charter of Rights and Freedoms (Charter), it must demonstrate that the limitation is justified in a free and democratic society. However, in certain circumstances a Charter right may also be limited by the valid simultaneous exercise of another individual’s rights. To address these situations, Canadian courts have developed a test similar to the Oakes framework that asks: First, whether the rights conflict or overlap at all; second, if that conflict can be overcome by alternative, accommodating measures; and, if not, third, whether the proposed approach strikes a rights-respecting balance. But when they reach the third stage there is a palpable risk that they will conduct an improper balancing inquiry wherein the effects of denying one right are weighed against protecting the other, rather than the effects of limiting the right(s). Instead, if the exercise of both rights creates a true competition which cannot be accommodated, courts must reconcile the claims: They must redefine the strength of each right relative to the other’s competing claims, to the broader factual matrix, and to the Charter’s interpretative guidelines, with the objective of facilitating the meaningful exercise of both rights. A balancing inquiry is only appropriate to the extent that it assesses whether the limitations (i.e., the results of the reconciliation analysis) are proportionate.

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)0.025
metaresearch head score (Gemma)0.031
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 score0.271
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0140.026
Scholarly communication0.0160.009
Open science0.0050.009
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0250.002

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 head0.038
GPT teacher head0.324
Teacher spread0.286 · 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
Published2024
Admission routes2
Has abstractyes

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