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Record W3030668100 · doi:10.5206/tgar.v1i1.7977

Canada and the International Human Rights Regime

2020· article· en· W3030668100 on OpenAlexvenueaboutno aff
Jiya Hai, Avery Pasternak

Bibliographic record

VenueThe General Assembly Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsPolitical scienceInternational human rights lawReputationIndigenousSubject (documents)Development economicsLawEconomics

Abstract

fetched live from OpenAlex

Canada, a country of relative economic and military unimportance, garnered significant soft power and influence from its international reputation as a moral leader and protector of human rights. However, a deeper analysis of Canada’s role in the development and implementation of the international human rights regime reveals a continued emphasis on economic benefits at the expense of human rights. This and other inconsistencies are clear in Canada's dealings with historic and current cases involving indigenous rights and human rights abuses by Saudi Arabia, China, and Myanmar. Realistically, Canada requires capital-intensive resource development and trade deals with major economic and military powers that often lack actionable interest in the advancement of human rights. In the modern age, it can be said that although Canada had a significant role in developing the international human rights regime, with a broad collection of formal treaties, organizations, and processes and many informal norms and values, the country's supposed reputation is subject to influences incongruent with the protection of human rights.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.602

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.006
Science and technology studies0.0090.014
Scholarly communication0.0110.003
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.305
Teacher spread0.273 · 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 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
Published2020
Admission routes2
Has abstractyes

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