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Record W2593556500

Exploring Disability Policy in Africa: An Online Search for National Disability Policies and UNCRPD Ratification

2017· article· en· W2593556500 on OpenAlexaff
Erika Luisa Angeles Fernandez, Lauren Jane Rutka, Heather M. Aldersey

Bibliographic record

VenueScholarSpace (University of Hawaii at Manoa) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsQueen's University
Fundersnot available
KeywordsRatificationScope (computer science)Political scienceEconomic growthDevelopment economicsPoliticsEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This research brief presents a search for national policies on disability and UN CRPD ratification in African countries. The results of the search found that over half of the countries in continental Africa have a current disability policy and that the majority of countries have ratified the UN CRPD. Many of the countries that have neither ratified the UN CRPD nor implemented national policies on disabilities are characterized by conflict and/or weak or absent governments. We anticipate that the results could be beneficial in providing a scope of disability policy in Africa and in helping to easily identify policy and/or geographic locations for future detailed policy analysis.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.003
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 head0.295
GPT teacher head0.383
Teacher spread0.088 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations13
Published2017
Admission routes1
Has abstractyes

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