Perceptions of Credibility for a Memory Report of a Single Versus Repeated Event
Bibliographic record
Abstract
Summary: When a person experiences an event that has multiple similar instances (i.e., a repeated event), memories for details that change across instances are challenging to recall. We expected that third parties would perceive memory reports of instances of repeated events as less credible than they would unique (i.e., single ) events. Undergraduates participated in a single or repeated event, during which critical details were presented. Participants were asked to recall the session 2 days later, and memory reports were video recorded. New participants then viewed one video and evaluated the credibility of the speaker's memory report. Overall, repeated‐event reports were seen as less credible than were single‐event reports, despite the reports being equally accurate. Although credibility research in the context of repeated events has focused exclusively on child populations, a range of applications exists for adults (e.g., criminal and industrial eyewitnesses, and asylum seekers); we discussed our findings in these areas.Copyright © 2017 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".