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Record W2279314320 · doi:10.15353/cjds.v5i1.251

People with Disabilities and the Charter: Disability Rights at the Supreme Court of Canada Under the Charter of Rights and Freedoms

2016· article· en· W2279314320 on OpenAlexaffvenueabout
Mary Ann McColl, Rebecca L. Bond, D. W. F. Shannon, C. J. d. V. Shortt

Bibliographic record

VenueCanadian Journal of Disability Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsCanadian Centre for Policy AlternativesQueen's University
Fundersnot available
KeywordsCharterSupreme courtLawPolitical scienceInclusion (mineral)DisappointmentFundamental rightsHuman rightsSociologyPsychologyGender studies

Abstract

fetched live from OpenAlex

The inclusion of people with disabilities as a designated group for rights protection in the Canadian Charter of Rights and Freedoms was viewed as a triumph of disability advocacy in Canada. And yet, a number of commentators look back with disappointment over the 30 years since the Charter was passed. This paper employs an empirical approach to examine an important subset of cases invoking the Charter of Rights and Freedoms to promote disability rights. Specifically, it examines 14 cases heard by the Supreme Court of Canada to uncover the types of disability issues that have been addressed, and the approach of Supreme Court justices to these issues. In order to qualify for inclusion, cases had to have an appellant with a disability, and to directly address a disability discrimination issue. The current study shows a very limited impact of the Charter, despite expectations of a discernible shift in the position of people with disabilities within Canadian society. There is still no consistently applied “disability lens” in the policy environment, and there are relatively few tangible indicators of the kinds of considerations offered to other enumerated groups, such as Ministry or oversight committees dedicated to their issues.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.035
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.265
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations6
Published2016
Admission routes3
Has abstractyes

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