Aging and Emotional Effects on Working Memory and Long-Term Memory for Target and Distracting Information
Why this work is in the frame
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Bibliographic record
Abstract
To resolve discrepancies between studies on the effects of emotional content on working memory, and to examine changes with age, this study examined the effects of emotional content on working memory and subsequent long-term memory for targets and distracters. Thirty-six younger (ages 18-29) and 36 older adults (ages 65-87) participated in a working memory task in which they viewed two target words intermixed with two distracters followed by a probe word, and responded to whether the probe was a target word. The emotional content (valence and arousal) of targets and distracters was manipulated. Subsequent long-term memory was tested with a free recall task. Results indicated that emotional content of targets facilitated working adults experiencing disruption from positive and neutral distracters, and older adults experiencing interference from negative distracters. Emotional effects in long-term memory were only seen for younger adults.
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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