MétaCan
Menu
Back to cohort
Record W2032404305 · doi:10.1080/09687599.2011.602861

The United Nations Convention on the Rights of Persons with Disabilities and participation in Aotearoa New Zealand

2011· article· en· W2032404305 on OpenAlexfundno aff
L. Moriarity, Kevin Dew

Bibliographic record

VenueDisability & Society · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
FundersUniversity of GalwayVictoria UniversityUniversity of Victoria
KeywordsAotearoaConvention on the Rights of Persons with DisabilitiesAccountabilityContext (archaeology)PoliticsGovernment (linguistics)Citizen journalismPolitical scienceNormativeEconomic growthPublic administrationPublic relationsSociologyConventionPsychologyLawEconomics

Abstract

fetched live from OpenAlex

The involvement of persons with disabilities in formal decision-making processes is thought to have a range of benefits. However, research suggests that participatory processes may fail to match normative ideals. This study examines the participation of persons with disabilities in the development of the United Nations Convention on the Rights of Persons with Disabilities, from the perspective of key informants in the New Zealand disability sector. It found that participants viewed the participatory process favourably. Political activity from persons with disabilities and political willingness on the part of government contributed to this perceived success. More broadly, the participation of persons with disabilities provided a mutually enriching learning experience, reduced political machinations between nations, increased government accountability, and resulted in a more relevant text. The study provides an example of a successful participatory process involving persons with disabilities within an international context.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.453
Threshold uncertainty score0.902

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.311
Teacher spread0.259 · 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 designQualitative
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

Citations8
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueDisability & SocietySame topicPolitical Systems and GovernanceFrench-language works237,207