On the Meaning of Aging and Ageism: Why Culture Matters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Like any form of discrimination, ageism does not exist in a void; it is expressed through cultural values and social beliefs. Some studies show that ageism intersects with other discriminatory attitudes, including those based on race or culture, leading to negative outcomes. However, the way older individuals, who are members of diverse cultural groups, experience and acknowledge age-based discrimination and react to ageist stereotypes may also be culturally dependent. The purpose of this paper is to further explore perceptions of aging and ageism among cultural groups of older adults in Canada. Findings from group discussions conducted among Chinese, Arab, and South Asian Indian older adults reveal that seniors living in Canada share relatively positive perceptions of aging and maintain their physical and psychological well-being, in part, because of their family and community engagement. Participants highlighted the respect that is offered to older adults in their culture and, in most cases, were grateful for their families and the policies supporting older adults in Canada. While participants were often not familiar with the term “ageism,” they had experienced a few instances of age discrimination, especially in the workplace. Results suggest that participants’ identities as older people may prevail over identities related to culture. As Canada’s society ages and becomes more diverse, these findings shed light on how culture influences the experience of aging and ageism.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it