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Record W3136850515 · doi:10.15353/cjds.v5i4.313

The Accessibility for Manitobans Act: Ambitions and Achievements in Antidiscrimination and Citizen Participation

2016· article· en· W3136850515 on OpenAlexaffvenueabout
Laverne Jacobs, Britney De Costa, Victoria Cino

Bibliographic record

VenueCanadian Journal of Disability Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsLegislationDiscretionPolitical scienceStatuteEnforcementContext (archaeology)Social model of disabilityLawSociologyPublic administrationPublic relationsPsychology

Abstract

fetched live from OpenAlex

The Accessibility for Manitobans Act (AMA) was enacted in December, 2013. Manitoba is the second Canadian province to enact accessibility standards legislation. The first province was Ontario, which enacted the Ontarians with Disabilities Act in 2001, and, later, a more fortified and enforceable Accessibility for Ontarians with Disabilities Act, 2005. The AMA presents a strong set of philosophical and social goals. Its philosophical goals mark accessibility as a human right, and aim to improve the health, independence and well-being of persons with disabilities. The AMA’s social goals have the potential to make a positive impact on the development of equality law norms within the context of disability discrimination. Nevertheless, the AMA would be strengthened with a more robust and explicit appreciation of how disability discrimination issues are experienced. The Act should show a greater recognition of the relevance of embodied impairment to individuals with disabilities, and there should be more significant scope for the statute to address intersectionality within disability discrimination. These two challenges replicate the two principal critiques of the social model of disability –the model of disability on which the AMA is based. Finally, for the legislation to be successful, issues of compliance and enforcement that require positive uses of discretion on the part of the civil service should be addressed early on. The findings of this article may be useful for the implementation of the AMA and for the design of future accessibility legislation in Canada and elsewhere.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.091
GPT teacher head0.412
Teacher spread0.321 · 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 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

Citations3
Published2016
Admission routes3
Has abstractyes

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