Social Aspects of Aging in Indigenous Communities
Bibliographic record
Abstract
Abstract Social and structural changes affect the daily lives and quality of life of older Indigenous adults throughout the world. In many cases, older adults are no longer esteemed and valued as they were in the past. Their role as keepers and teachers of cultural knowledge and traditions has changed as family life has been transformed due to the effects of colonization but also due to social and economic changes. This book describes how older adults are meeting these challenges and finding strategies to survive, thrive, and contribute to their families, communities, and society. The geographic locations discussed in relation to Indigenous aging include Bangladesh, Chile, Canada, Finland, Ghana, India, Nigeria, New Zealand, North America, Sri Lanka, Taiwan, and Zambia. This book is organized into five different thematic sections concerning Indigenous cultural beliefs and views on aging; aging and social policy; the effects of social change on communities, families, and older adults; emotional and psychological issues; and the contributions of Indigenous older adults. The book also discusses the effects of colonization on older Indigenous people; the significance of cultural identity; challenges of social and economic transformation affecting Indigenous older persons and their families and communities; and evidence of resilience and strength in older adults’ survival strategies.
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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 | 0.000 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".