Effect of motivational incentives on face-name hyper-binding in older adults
Bibliographic record
Abstract
Hyper-binding refers to the tendency for older adults to encode extraneous information from their environment, and bind this information to attentional targets such that this distracting information can be remembered in association with target information on a subsequent task. This tendency is hypothesized to result from a loss of selectivity in memory and attention due to a loss of inhibitory control. However, older adults do demonstrate selectivity under certain motivational conditions. For example, older adults show enhanced memory selectivity in reward-motivated states. The current study used motivational incentives (virtual rewards) to investigate the interaction between hyper-binding and reward-based motivation. Results revealed a motivation-related decrease in hyper-binding in older adults. This decrease was not affected by incentive magnitude (low versus high). These results suggest that the value-directed selectivity of memory and attention counteract the age-related selectivity deficit associated with hyper-binding. Keywords: Cognitive aging, inhibitory control, selective attention, hyper-binding, motivated cognition, reward-based motivation
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".