Interview of María Soledad Cisternas Reyes and Rosa Kornfeld‑Matte
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".