Memory cues, recall strategies, and Alzheimer's disease
Bibliographic record
Abstract
This paper reports on partial findings from research exploring (1) how individuals with mild Alzheimer’s disease (AD) use memory cues in the form of representations (tokens) to recall life stories, and (2) ways in which representations (tokens) influence the nature and content of the recall narrative. Further, it examines whether memory recall differs in response to personal, participant-chosen memory cues, as compared to those selected by someone other than the participant. Reliance on personal artifacts used during two of three unstructured interview sessions resulted in recollections that seemed more scripted in delivery and circumscribed in detail. Researcher-selected tokens, used exclusively during session 3, yielded more fully formed recollections, and additional stories. Early findings suggest that generic associations may be at least equal to, if not more effective than, unique, individuated artifacts to engendering creative self-expression and vivid personal recall for those experiencing the initial memory loss of AD.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.018 | 0.002 |
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; both teacher heads agree on what is shown here.
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".