How Can Ethics Support Innovative Health Care for an Aging Population?
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
The rapidly expanding aging population presents an urgent global challenge cutting through just about every dimension of worldly life, including the social, political, cultural, and economic. Developing innovations in health and assistive technology (AT) are poised to support effective and sustainable health care in the face of this challenge, yet there is scant (but growing) discussion of the ethical issues surrounding AT for older persons with dementia. Demands for ethical frameworks that can respond to frontline dilemmas regarding AT development and provision, and how the needs of aging persons themselves are defined throughout this development process, are increasing. This article suggests that fulfilling the promises of AT to provide effective and ethically informed solutions may demand shifting away from standard bioethical analyses that centralize the principle of respect for autonomy. An autonomy-centric paradigm is dubiously equipped to theorize the foundational ethical issues in dementia care and to effectively guide AT development and implementation. An agency-centered approach to dementia care, which could engage more adaptively with the perspectives and choices of older persons themselves while offering strong support to AT research and stakeholders, may offer an attractive alternative.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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