Using Photovoice with people with early-stage Alzheimer’s disease: A discussion of methodology
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
Many scholars and activists have challenged researchers to do research ‘with’ not ‘for’ or ‘on’ people with Alzheimer’s disease and related dementias. Photovoice is a relatively new qualitative methodology that involves giving cameras to participants to record and document their experiences in ways that can create change. In this study, the Photovoice method was used with a group of participants in early stages Alzheimer’s disease to explore the use of Photovoice as a methodology with this population. Specifically, I was hoping to understand how Photovoice could be used as a methodology with this group, and to examine the benefits and challenges of using Photovoice with people with Alzheimer’s disease. This paper discusses some of the practical challenges arising out of using this methodology with people with early stage Alzheimer’s disease as well as some of the issues surrounding research ethics, consent, and capacity.
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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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