Old age and disability: Same or different for the purposes of human rights law?
Bibliographic record
Abstract
Ageing and disability are often conflated in theory and practice when old age is seen as synonym to physical and cognitive decline. But distinct policies, advocacy frames and movements have also led to the exclusion and discrimination of older people with disabilities, when older people are offered fewer and poorer services. In both cases, persistent stereotypes about older people’s abilities lead to the conclusion that there is not much that can be done to assist older people and to integrate them in the life of their communities. International human rights law also reflects age biases as it is at least partly based on a medical model that accepts old age impairments as natural and inevitable. This paper makes the case for a rights-based approach to ageing and argues that the intersection between old age and disability merits further consideration by international human rights law and practice.
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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 | 0.017 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.061 |
| Scholarly communication | 0.015 | 0.020 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".