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Record W3121974619 · doi:10.1017/s0731126500011525

International Human Rights in Canada: At the Juncture of Law and Politics

2013· article· en· W3121974619 on OpenAlexaboutno aff
Faisal Bhabha

Bibliographic record

VenueInternational Journal of Legal Information · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsPolitical scienceInternational human rights lawLawInternational lawTreatyPrinciple of legalityPolitics

Abstract

fetched live from OpenAlex

Abstract Thank you for the opportunity to address the very timely topic of international human rights law from the Canadian perspective. As my title suggests, my analysis of this topic sits at the intersection of law and politics, as so much of international law necessarily does. I will proceed in three parts. First, I will provide a sketch of the political context, drawing from recent events and trends, to describe a conflicted official government approach to international human rights. Next, I will examine the formal legal status of international human rights law in Canada, drawing selectively from key Supreme Court of Canada decisions. This will be far from a comprehensive account. Finally, I will discuss the recent adoption of the newest international human rights treaty, the disability convention, and discuss calls to promote access to justice at the international level for breaches of Convention norms domestically. Notwithstanding important efforts to advance the status of international human rights law in Canada, my overall observation is that, in both law and politics, the Canadian approach to international human rights is predominantly inward looking.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.261
Threshold uncertainty score0.857

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0310.015
Scholarly communication0.0170.004
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0110.000

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 head0.013
GPT teacher head0.287
Teacher spread0.274 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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