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Record W4389992521 · doi:10.7202/1108107ar

Interview of María Soledad Cisternas Reyes and Rosa Kornfeld‑Matte

2023· article· en· W4389992521 on OpenAlexvenueno aff
María Soledad Cisternas Reyes, Rosa Kornfeld-Matte

Bibliographic record

VenueAequitas Revue de développement humain handicap et changement social · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsArtGeologyHumanities

Abstract

fetched live from OpenAlex

This interview was prepared, conducted, and reviewed by Marion Scheider-Yilmaz, post-doctorate researcher at PACTE, University of Grenoble Alpes and Jean-Philippe Viriot Durandal, Professor at the University of Lorraine and “Inclusive society and ageing” chairholder. The aim was to hear from María Soledad Cisternas Reyes, Special Envoy on Disability and Accessibility for the UN (2017 – June 2023), and Rosa Kornfeld-Matte, Independent Expert on the enjoyment of all human rights by older persons by the UN Human Rights Council (2014 – 2020), about their commitment to the inclusion and promotion of the rights of persons with disabilities and older persons. Throughout the discussion, the process that led to the promulgation of the Convention on the Rights of Persons with Disabilities is presented. Based on this historical example, the ongoing challenges in the process in favor of a Convention on the rights of older people are then outlined.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.123
GPT teacher head0.344
Teacher spread0.221 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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