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Record W2011923406 · doi:10.3109/09638288.2014.972589

Disability and the post-2015 development agenda

2014· article· en· W2011923406 on OpenAlexaff
Rachele Tardi, Janet Njelesani

Bibliographic record

VenueDisability and Rehabilitation · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsCentre for Disability Prevention and RehabilitationUniversity of Toronto
Fundersnot available
KeywordsSustainable developmentMillennium Development GoalsPovertyPolitical scienceWork (physics)Inclusion (mineral)Working groupProcess (computing)Public administrationEconomic growthPublic relationsSociologyEngineeringSocial scienceComputer scienceEconomics

Abstract

fetched live from OpenAlex

PURPOSE: The article considers the extent to which disability has been recognized and included in two main documents produced to date as part of the United Nations Post-2015 Development agenda process. This is the process that is defining the Sustainable Development Goals (SDGs), which will succeed the UN Millennium Development Goals (MDGs) after the latter reach their target date in 2015. The two documents examined in the article are the Outcome Document (July 2014) of the Open Working Group (OWG) on SDGs and the Report (August 2014) of the Intergovernmental Committee of Experts on Sustainable Development Financing (ICESDF). The OWG consisted of 30 seats shared by 70 UN Member States and was in charge of proposing goals and targets for the SDGs. The ICESDF worked in parallel to the OWG and its report proposed options on an effective financing strategy. The article emphasizes the importance of including persons with disabilities in the Post-2015 Agenda, especially in view of the latter's overarching focus on eradicating poverty. RESULTS: The inclusion of persons with disabilities is being recognized in the Post-2015 Agenda discussions as central to achieving sustainable development. Disability has been explicitly mentioned in the OWG and ICESDF documents. CONCLUSION: Although the results so far have been very good, more work still needs to be done to ensure that these explicit references are maintained in the final version of the SDGs, which will be adopted in September 2015. Furthermore, the new framework needs to have a stronger human rights foundation on which to ground these references and future indicators. Light for the World is an international confederation of national development non-governmental organizations (NGOs) aiming at an inclusive society, where the rights of persons with disabilities are realized without discrimination. Through a rights-based approach, Light for the World supports 175 programs in 25 countries in the areas of prevention of blindness, rehabilitation, inclusive education, awareness raising and advocacy, both at EU and UN level. Light for the World has been advocating for the inclusion of persons with disabilities in the Post-2015 Agenda, working closely with the International Disability and Development Consortium (IDDC), of which it is a member, and the International Disability Alliance (IDA). Implications for Rehabilitation The new Post-2015 development agenda is a fundamental opportunity to ensure that persons with disabilities are fully included in future development efforts. Inclusive development, as enshrined in the UNCRPD, has clear implications for the disability community and for policy makers. Advocacy from the disability community is critical to help keep the inclusion of persons with disabilities high on the agenda of the Post-2015 process.

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)0.019
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0080.007
Scholarly communication0.0150.012
Open science0.0020.018
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0160.001

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 head0.016
GPT teacher head0.297
Teacher spread0.281 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations26
Published2014
Admission routes1
Has abstractyes

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