Person-Oriented Research Ethics and Dementia:The Lack of Consensus
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
Research ethics extends beyond obtaining initial approval from research ethics boards. The previously established person-oriented research ethics framework provides guidelines for understanding ongoing ethics throughout the tasks of a research project, in a variety of research contexts. It focuses primarily on the relational and experiential aspects of research ethics, organized around five guideposts: (1) focus on researcher-participant relationships; (2) respect for holistic personhood; (3) acknowledgment of lived world; (4) individualization; and (5) empowerment in decision-making. Given the widespread impact of dementia and the ethical challenges dementia research presents, conducting meaningful, ethical research is of high importance. This review explores this person-oriented framework in the context of dementia by examining existing literature on ethics practices in dementia research. We use a critical interpretive literature review to examine publications from 2013 to 2017 for content related to the five guideposts of person-oriented research ethics. While there is much literature addressing the relational and experiential aspects of research ethics, there is a lack of unanimous conclusions and concrete suggestions for implementation. We compiled practical recommendations from the literature, highlighting tensions and suggesting furthering evidence-based ethics research fieldwork to construct an accessible, easy-to-use set of guidelines for researchers that will assist in putting person-oriented research ethics into practice in dementia research.
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 | 0.001 | 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 | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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