Stereotypes and the Familiar-Stranger: The Role of Previous Contact and Gender Stereotypes on Eyewitness Recall and Recognition Accuracy
Bibliographic record
Abstract
The present study examined the influence of prior familiarity with a perpetrator and gender stereotypes on eyewitness recall and identification accuracy. Participants (N = 257) watched a crime video where the perpetrator was either someone they had never met before (unfamiliar/stranger condition), or was someone with whom they had a 1 minute exposure to prior to the crime (familiar condition). In the familiar conditions the 1 minute exposure included the target talking about their occupation; this occupation was either consistent or inconsistent with gender role stereotypes. There were no significant differences in recall or identification accuracy between the familiar or stereotypes conditions. However, when participants were asked to rate the degree to which they viewed the target as stereotype consistent versus inconsistent, higher stereotype consistency ratings were associated with reporting more total descriptors and higher proportions of correct descriptors. Conversely, lower stereotype consistency ratings predicted more correct identification decisions.
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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 | 0.001 |
| 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 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".