JOURNAL ARTICLE
Old age and disability: Same or different for the purposes of human rights law?
Published In: Aequitas: Journal of Human Development, Disability & Social Change / Revue de Développement Humain, Handicap et Changement Social, 2023, v. 29, n. 2. P. 59 1 of 3
Database: Psychology Source 2 of 3
Authored By: GEORGANTZI, NENA 3 of 3
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. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Aequitas: Journal of Human Development, Disability & Social Change / Revue de Développement Humain, Handicap et Changement Social. 2023/11, Vol. 29, Issue 2, p59
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:2563-1268
- DOI:10.7202/1108106ar
- Accession Number:173791892
- Copyright Statement:Copyright of Aequitas: Journal of Human Development, Disability & Social Change / Revue de Développement Humain, Handicap et Changement Social is the property of Reseau international sur le Processus de production du handicap, RIPPH and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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