Lexicality judgements in healthy aging and in individuals with Alzheimer's disease
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
Neighbourhood density (N) has been shown to influence how lexical stimuli are accessed. In young adults, a large N is facilitatory for words but inhibitory for pseudowords in English. While there is a paucity of studies probing N as people age, results to date point towards changes in lexical processing that occur with aging. We are not aware of any studies that have sought to investigate N in Alzheimer’s disease (AD) in English. Results from the lexical decision task reported here support previous N findings for young adults. However, older adults and those with AD showed a different pattern of performance. Both were slower to respond to and made more errors to high versus low N pseudowords but, unlike young adults, older adult groups showed a decrease in sensitivity to N for words. Results suggest that the aging process may change how N is processed; older individuals are no longer as sensitive to N and this appears to be further altered by AD. In the context of the multiple read-out model of lexical processing, this change may be due to a longer time required to activate lexical neighbours which, in turn, results in differential N effects for words and pseudowords.
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 | 0.000 | 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) | 0.000 | 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