Preliminary Data on the Effect of Culture on the Assessment of Alzheimer's Disease-Related Verbal Memory Impairment with the International Shopping List Test
Bibliographic record
Abstract
The International Shopping List Test (ISLT) is a measure of verbal learning and memory, developed specifically for use in people from different cultural and linguistic backgrounds. In this report, we describe two studies that examined the ISLT's ability to detect memory impairment and memory decline in patients with mild Alzheimer's disease (AD) from a range of cultural and linguistic backgrounds. In Study 1, the performance of Australian-English-speaking adults with mild AD was compared with that of native Australian-English- and Korean-speaking patients with mild AD. Compared with controls, patients with AD from both language groups showed large but equivalent impairments in total recall, delayed recall, rate of learning, and primacy and retention-weighted recall (RWR) measures on the ISLT. In Study 2, the rate of deterioration in verbal memory over 1 year was examined in groups of native Canadian-English, French, and Korean speakers with mild AD using the total recall, delayed recall, and RWR measures. Rates of change on all three measures were equivalent across the language groups, although the magnitude of deterioration was most pronounced for the total recall and RWR measures. Taken together, these results suggest that the ISLT is valid and reliable for the assessment of verbal learning and memory impairment and decline in patients with mild AD from diverse language groups.
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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 | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".