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Record W7061078049

Precedent and Positive Charter Rights: Time for a Change?

2021· article· en· W7061078049 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2021
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsCharterSupreme courtFraming (construction)Fundamental rightsHuman rightsInternational human rights law
DOInot available

Abstract

fetched live from OpenAlex

Whether the Supreme Court of Canada can and should recognize so-called ‘positive’ rights (viz, rights that require the performance of certain actions, possibly including the provision of goods, by the government) under the Charter of Rights and Freedoms remains contentious. Binding Supreme Court of Canada precedent states that there are no positive Charter rights – at least under sections 7, 12, and 15 of the Charter, under which demands for positive action are most controversially raised – but positive aspects of Charter rights could be recognized in the future. Yet the circumstances under which recognition would be appropriate remain opaque. This work suggests that the law of precedent is a helpful tool for examining when recognition could be justified from both the institutional perspective of the Court’s internal norms and from an all-things-considered perspective. It is, at minimum, a useful framing mechanism for exploring the most difficult issues concerning the recognition of positive rights. Interestingly, application of the test suggests a break between when the Supreme Court of Canada could recognize positive rights according to its own norms and when it would be all-things-considered justified to do so. Yet, more importantly, the considerations raised by the law of precedent test also highlight a burden for future all-things-considered justified recognition and demonstrate how the judiciary can avoid the potential negative consequences of positive rights recognition if they choose to recognize them (e.g., where recognition of some form cannot be avoided in a contested case).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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