MétaCan
Menu
Back to cohort
Record W3209396430

The Convention on the Rights of Persons With Disabilities : Its Contribution to the Development of International Human Rights Law

2019· article· en· W3209396430 on OpenAlexaff
Mona Paré

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConvention on the Rights of Persons with DisabilitiesHuman rightsConventionPolitical scienceInternational human rights lawNegotiationLawInternational lawVienna Convention on the Law of TreatiesInternational communityInterpretation (philosophy)Law and economicsPublic international lawSociologyPoliticsComputer science
DOInot available

Abstract

fetched live from OpenAlex

This article examines the impact that the United Nations Convention on the Rights of Persons with Disabilities (CRPD) has had on international human rights law. While it seems that the convention may have a narrow focus, as it focuses on a specific group of people, this paper argues that it has had an impact on international human rights law more generally. This impact started with the negotiation of the convention between 2002 and 2006, and is continuing with its implementation since its entry into force in 2008. The impact is of both procedural and substantive nature. On the one hand, the procedure that led to the development and adoption of the CRPD was innovative, as are the mechanisms that have been put into place to monitor its implementation. On the other hand, the convention introduces and develops concepts in a novel way in international law, such as new ways of considering the concept of equality, and to understand development, for example. The article concludes that the international community should capitalize on the new approaches, and that their application and interpretation should be closely monitored.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicHuman Rights and DevelopmentFrench-language works237,207