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Record W4400067570 · doi:10.26443/glsars.v3i1.1088

Mind the Gap: Toussaint and the Reception of International Human Rights Law in Canada

2024· article· en· W4400067570 on OpenAlexafffundabout
Karinne Lantz

Bibliographic record

VenueMcGill GLSA Research Series · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsHuman rightsPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article explores the reception of international human rights law (“IHRL”) in Canada and the enforcement gap that may arise when legislation is not passed expressly implementing human rights treaties that Canada has ratified. Despite establishing a variety of interpretive methods that may result in Canada’s binding IHRL obligations having domestic effect even when they are not expressly implemented, Canadian courts have struggled to provide clear and consistent guidance on how IHRL applies in Canada. The selective approach in Canada to implementing legislatively IHRL obligations may give rise to an enforcement gap when rights individuals purportedly enjoy under international law are found to have no domestic effect. To demonstrate this gap, this article focuses on litigation brought by the late Nell Toussaint, who lived in Canada and was denied federal health insurance coverage when facing life-threatening medical conditions due to her then-irregular migrant status. Exploring Ms. Toussaint’s unsuccessful domestic claim that her rights to health, life, and non-discrimination were violated by Canada and her advocates’ ongoing efforts to ensure that Canada abides by the subsequent determination of the United Nations Human Rights Committee that Canada violated her rights to life and non-discrimination under the International Covenant on Civil and Political Rights, this article demonstrates how not expressly implementing ratified human rights treaties can create a barrier to IHRL being effective domestically in Canada.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
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
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.062
GPT teacher head0.382
Teacher spread0.320 · 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 designTheoretical or conceptual
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

Citations0
Published2024
Admission routes3
Has abstractyes

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