Imagining Ourselves into the Lives of People Living with Dementia: Toward New Narratives for Aging Societies
Bibliographic record
Abstract
Aging societies frequently fail to imagine their own collective needs, including the care needs of people with dementia and who will be expected to meet these needs. This essay considers how to build a practice of moral imagination-a capacity to think about current and future challenges in ways that aim at better lives and greater justice-into rethinking familiar cultural narratives about dementia that fail to improve the lives of people with dementia or of dementia caregivers, who are usually family members. Focusing on real-world conditions in the United States and Canada, the essay outlines a public humanities project to improve public understanding and public deliberation about dementia care, through careful reflection on the stories that members of aging societies tell, share, and embed in civic dialogue.
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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 | 0.025 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.024 | 0.066 |
| Scholarly communication | 0.021 | 0.036 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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".