Exploring the Facets of Emotional Episodic Memory: Remembering “What,” “When,” and “Which”
Bibliographic record
Abstract
Our memories can differ in quality from one event to the next, and emotion is one important explanatory factor. Still, the manner in which emotion impacts episodic memory is complex: Whereas emotion enhances some aspects of episodic memory—particularly central aspects—it dampens memory for peripheral/contextual information. Extending previous work, we examined the effects of emotion on one often overlooked aspect of memory, namely, temporal context. We tested whether emotion would impair memory for when an event occurred. Participants ( N = 116 adults) watched videos wherein negative and neutral images were inserted. Consistent with prior work, results showed that emotion enhanced and impaired memory, respectively, for “what” and “which.” Unexpectedly, emotion was associated with enhanced accuracy for “when”: We found that participants estimated that neutral images occurred relatively later, but there was no such bias for negative images. By examining multiple features of episodic memory, we provide a holistic characterization of the myriad effects of emotion.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".