The reversible share of cognitive deficits in older adults
Bibliographic record
Abstract
Cognitive performance of older adults is very often inferior to that of younger adults on a variety of laboratory tests assessing basic functions such as memory, inhibition, or attention. Classic hypotheses and theories share the idea that these cognitive deficits are irreversible, due to profound cerebral changes. In this review article, we develop a more positive conception of aging, according to which cognitive deficits are not all irreversible, and can even be partially if not completely reversible. To this end, we present some of the most illustrative research on the reversibility of the effects of aging on cognition. We show how subtle contextual manipulations can change older adults' motivation and strategy, which improve their cognitive performance. We also show that guidance toward the selection of the most appropriate strategy, whether explicit as in selectivity paradigms or implicit as in dual-task procedures, can increase older adults' cognitive performance. We finally describe the hypotheses and theories that both account for low cognitive performance in old age and ways to reverse the effects of cognitive aging.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".