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Record W1658693842 · doi:10.60082/2563-8505.1256

Has the Charter Made a Difference for People with Disabilities?: Reflections and Strategies for the 21st Century

2012· article· en· W1658693842 on OpenAlexaffabout
Ravi Malhotra

Bibliographic record

VenueSupreme Court law review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCharterRatificationPolitical scienceSupreme courtLawImmigrationSocial model of disabilityPublic administrationPsychologyPolitics

Abstract

fetched live from OpenAlex

This paper evaluates the role of the Canadian Charter of Rights and Freedoms in promoting the equality rights of people with disabilities through the lens of the social model of disablement. This stands for the proposition that structural barriers and attitudes in society are the primary cause of the marginalization of people with disabilities. Through a critical examination of key Supreme Court of Canada cases such as Eaton v. Brant County Board of Education, Granovsky v. Canada (Minister of Employment and Immigration), Eldridge v. British Columbia (Attorney General) and Council of Canadians with Disabilities v. Via Rail Canada Inc., the paper maintains that even in those cases where advocates for people with disabilities lost, the Court nevertheless articulated a cogent understanding of the social model of disablement. The paper the n identifies two important recent developments, Canada’s ratification of the Convention on the Rights of Persons with Disabilities and the passage of the Accessibility for Ontarians with Disabilities Act, 2005, that hold promise for increased accessibility in the future.

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)0.018
metaresearch head score (Gemma)0.017
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.834
Threshold uncertainty score0.687

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0350.094
Scholarly communication0.0250.018
Open science0.0040.011
Research integrity0.0140.017
Insufficient payload (model declined to judge)0.0070.001

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 head0.100
GPT teacher head0.370
Teacher spread0.270 · 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
GenreCommentary

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

Citations4
Published2012
Admission routes2
Has abstractyes

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