Characteristics of Self-Reported Memory Compensation in Older Adults
Bibliographic record
Abstract
Self-reported efforts to compensate for memory impairments in everyday life were examined. In seven scales, the Memory Compensation Questionnaire (MCQ) measures five mechanisms of memory compensation, as well as motivation to compensate and awareness of need to compensate. The MCQ was administered twice, at a 3-year interval, to a large sample of healthy older adults (aged initially 55-85 years) from the Victoria Longitudinal Study. Concurrent analyses (n = 854) revealed an excellent set of psychometric properties for the MCQ and its scales. Two-wave longitudinal analyses (n = 629) revealed overall short-term stability of compensatory strategy use. Although all groups reported a similar pattern of relative frequencies of compensatory mechanism use, select qualifications of age and gender were detected. Applications of the MCQ to investigate awareness, motivation, and implementation of compensatory memory strategies in various populations are discussed.
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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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".