Beyond “Living Well”: Toward Socially Just Cultural Narratives About Living With Dementia
Bibliographic record
Abstract
Abstract This paper considers how cultural narratives function when an aging society is reflecting on itself and what it wants for fellow members of this society, specifically, people facing dementia and people who are dementia caregivers. It explores the moral imagination required to develop socially just cultural narratives for aging societies that will endure under non-ideal conditions. Moral imagination is the capacity to think about current and future challenges in ways that aim at better lives and greater justice. Socially just cultural narratives are the stories embedded in these tasks that convey ideas and values about how to support better lives for disadvantaged members of a society, alongside other important goals such as effectiveness and sustainability. When used and acted upon by those with the power to drive change, these narratives should help to produce opportunities for better lives and greater justice under real-world conditions. The author, an anthropologist, studies the social, cultural, and political dimensions of illness and medicine in North America, with special attention to dementia and care.
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 | 0.023 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.068 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".