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Record W3124809449

Adding Social Condition to the Canadian Human Rights Act

2009· article· en· W3124809449 on OpenAlexaboutno aff
Wayne A. Mackay

Bibliographic record

VenueKnowledge@SchulichLaw · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsCharterPolitical scienceDisadvantageFundamental rightsCultural rightsSocial rightsInternational human rights lawLawSocial equalityLaw and economicsSociology
DOInot available

Abstract

fetched live from OpenAlex

Almost a decade ago, in June 2000, the Canadian Human Rights Act Review Panel conducted a comprehensive review of the Canadian Human Rights Act [CHRA] and recommended that “social condition” be added as a prohibited ground of discrimination. Since then, no action has been taken to implement this recommendation, despite calls for action from international bodies, political actors, human rights agencies and organizations, and academic commentators to provide protections from discrimination for those suffering from social and economic disadvantage. The authors analyze the experiences at the provincial level with socio-economic grounds of discrimination, jurisprudential developments under the Canadian Charter of Rights and Freedoms related to claims based on socio-economic disadvantage, the broader proposal of incorporating justiciable social and economic rights into Canadian law, and the range of arguments both for and against recognizing social condition as a prohibited ground of discrimination. In the end, the authors recommend a feasible and practical means for adding social condition to the Canadian Human Rights Act so that it will provide predictability for administrators, adjudicators and respondents, as well as sufficient flexibility to reflect the multi-faceted and intersectional experience of discrimination of human rights claimants. While socio-economic inequality continues to be a significant and pressing problem in need of a multi-pronged and comprehensive solution, the addition of the ground of social condition to the CHRA will be one more tool in advancing the rights and interests of those on the very margins of Canadian society. This paper was co-authored with Natasha Kim, Dalhousie University.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0150.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.036
GPT teacher head0.358
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.

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

Citations1
Published2009
Admission routes1
Has abstractyes

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