The fear factor : effects of implicit and explicit processing on the emotional enhancement of memory
Bibliographic record
Abstract
This thesis examines whether implicit and explicit processing of emotional facial expressions affects the emotional enhancement of memory (EEM). On the basis that explicit processing is associated with relative reductions in amygdala activation and arousal, I predicted that fearful faces, in particular, would lead to a robust EEM effect following encoding with implicit, but not explicit processing. Participants were shown a series of facial expressions (happy, fearful, angry, and neutral) in an "indirect" and a "direct" task designed to elicit implicit and explicit processing, respectively. Later they underwent a recognition memory test using the Remember-Know paradigm. Fearful faces exhibited a unique pattern whereby indirect encoding led to an enhanced subjective sense of recollection, whereas direct encoding prevented an increase in recollection that was observed for all other emotions. These findings may reflect interactions among amygdalar/arousal thresholds and levels of processing (LOP) effects on recognition memory.
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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 | 0.000 | 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) | 0.002 | 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".