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Record W2756308975 · doi:10.60082/2563-4631.1068

Women’s Health Rights in Canadian-Anglophone African Human Rights Engagements: Normativity, Indigeneity and the Spaces Beyond the Norm Life Cycle

2017· article· en· W2756308975 on OpenAlexaffabout
Irehobhude O. Iyioha

Bibliographic record

VenueThe Transnational Human Rights Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsUniversity of British ColumbiaGovernment of CanadaLeukemia & Lymphoma Society of CanadaUniversity of Alberta
Fundersnot available
KeywordsHuman rightsNorm (philosophy)SociologyNormativeRight to healthEnvironmental ethicsPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

Canada has a demonstrated interest in sustaining a human rights agenda in Anglophone Africa. While this commitment is of common knowledge, its nature and achievements, as well as associated complications and possibilities have not been subjected to as much critical analysis as these issues deserve. This paper takes a prelusive step towards a rigorous assessment of human rights engagements between Canada and the Anglophone African region within the specific field of women’s health. It conducts a summative appraisal of the nature of norms and a dialectic enquiry into the origin of norms within the context of Finnemore and Sikkink’s theory of the norm life cycle. Arguing that the characteristic diversity of norms complicates Canada’s human rights engagements, the article reaches a three-fold conclusion that (1) proposes a binary micro- versus macro-level analysis of internalization of human rights norms; (2) identifies ‘normative diversity’ – a concept in formation – as a key constraint in the internalization of human rights norms as reflected in norm-based differences, indigeneity, and other metrics of diversity; and (3) highlights the importance of reciprocity as between Canada and Anglophone African states – one in which Canada also benefits from applying lessons learned from its ground operations in the region towards improving its questionable human rights record in the overall healthcare and reproductive health needs of its own Aboriginal women and peoples.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0280.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.330
Teacher spread0.296 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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