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Record W4385512103 · doi:10.60082/2563-8505.1384

Whose Right is it Anyway? Adjudicating Charter Rights in the Context of Multiple Rights Holders

2020· article· en· W4385512103 on OpenAlexaboutno aff
Ryan Liss

Bibliographic record

VenueSupreme Court law review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharterContext (archaeology)Fundamental rightsLawPolitical scienceReservation of rightsCensorshipFreedom of expressionBill of rightsState (computer science)Law and economicsHuman rightsRight to propertySociologyComputer scienceHistory

Abstract

fetched live from OpenAlex

Many of the rights and freedoms prescribed in the Canadian Charter of Rights and Freedoms (Charter) protect aspects of life that rights holders engage in collaboratively, rather than in isolation. Our protection from unreasonable search and seizure extends to houses that we may inhabit with family members or roommates. Our freedom of expression and religion prohibits state censorship of novels co-written by multiple authors and prohibits restriction on religious rites practised as a community. Our freedom of association guarantees the rights of multiple members of a union to collectively bargain together. Our right to a speedy trial applies to the trial of multiple co-accused just as it does to the trial of an individual. Yet, while protecting collaborative aspects of life, the protections of the Charter apply to each of us, individually. As a result, it is inevitable in these contexts — where multiple rights holders possess claims “equal to and overlapping with” one another — that conflicts will arise.

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)0.094
metaresearch head score (Gemma)0.103
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 score0.895
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0940.103
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0210.067
Scholarly communication0.0270.027
Open science0.0050.012
Research integrity0.0190.022
Insufficient payload (model declined to judge)0.0060.001

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 head0.069
GPT teacher head0.328
Teacher spread0.259 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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