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Record W2085159431 · doi:10.1080/714003705

Human Rights in Foreign Policy: Lessons for South Africa from Canadian Experience?

2001· article· en· W2085159431 on OpenAlexaboutno aff
David Black

Bibliographic record

VenueThe International Journal of Human Rights · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsMultilateralismHypocrisyDiplomacyPolitical scienceForeign policyInternational human rights lawConstructiveRight to propertyGovernment (linguistics)Linguistic rightsPolitical economyLawSociologyLaw and economicsPolitics

Abstract

fetched live from OpenAlex

In order to narrow the 'compliance gap' between the 'idea of universal human rights and practices of human wrongs', differences in human rights understandings and practices between countries of the North and the South must be reduced. Towards this end, it is useful to critically examine the experiences of Northern countries which have long professed their dedication to human rights. This article specifically examines lessons for post-apartheid South Africa from Canadian experience - although the findings should be of wider interest. It reflects on three interrelated dimensions of Canada's international human rights activity, each of which resonates strongly in South Africa and elsewhere: (1) the preference for multilateralism; (2) the emphasis on 'quiet diplomacy' and 'constructive engagement'; and (3) the growing importance of actors in civil society, both independently and in conjunction with government policy makers. It finds that each of these dimensions is distinctly double-edged in its impact on Canada's human rights foreign policy. Only through a clear understanding of the strengths, limits, and interrelations of each of these policy dimensions can performance be improved and prevarication and hypocrisy limited.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.371
Teacher spread0.319 · 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

Citations5
Published2001
Admission routes1
Has abstractyes

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