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Record W4392201883 · doi:10.1163/9789004377653_005

The Impact of the United Nations Human Rights Treaties on the Domestic Level in Canada

2024· book-chapter· en· W4392201883 on OpenAlexaboutno aff
Alexander Agnello, Frédéric Megret

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsPolitical scienceInternational tradeGeographyLawBusiness

Abstract

fetched live from OpenAlex

Introduction to Human Rights in CanadaThe Dominion of Canada was formed through the British North America Act, 1867 and was recognized as a fully sovereign state in 1931 with the enactment of the Statute of Westminster by the UK Parliament.1 Roughly half a century later the Constitution Act, 1982 'patriated and Canadianized' the British North America Act.2The most recognised part of the Constitution Act is the Charter of Rights and Freedoms (Charter) which, for the first time, provided for a 'constitutional bill of rights' for Canada.3Since its adoption the Charter has become recognised around the world, particularly in the common law, as a model document for the protection of rights and freedoms.4The Charter has led to considerable litigation, with virtually no area of Canadian law left untouched by this scrutiny.A number of institutions are responsible for the monitoring and implementation of human rights in Canada.The Department of Justice is responsible for ensuring that federal Bills are consistent with Canada's human rights 1 Government of Canada, 'Anniversary of the Statute of Westminster' (19 October 2017) accessed 18 February 2019. 2 Michael D Behiels, 'The making of a deal: Trudeau, patriation and the Charter' Policy Options (1 December 2011) accessed 18 February 2019.

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)0.004
metaresearch head score (Gemma)0.014
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: Other · Consensus signal: Other
Teacher disagreement score0.204
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0160.008
Scholarly communication0.0140.003
Open science0.0020.005
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0270.002

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 head0.044
GPT teacher head0.327
Teacher spread0.283 · 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
GenreOther

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 routes1
Has abstractyes

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Same topicInternational Law and AviationFrench-language works237,207