Lineup administrators' expectations: Their impact on eyewitness confidence.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research focuses on how lineup administrators influence eyewitnesses' postidentification confidence. What happens to witness confidence when a witness makes an identification that confirms the lineup administrator's expectations; what happens when this expectation is not confirmed? In Experiment 1, participant interviewers (n = 52) administered target-absent photo lineups to participant witnesses (n = 52). The interviewers did not view the simulated crime, but were told the thief's position in the lineup. In every instance this information was false (we used a target-absent lineup). A one-way ANOVA revealed that eyewitness identification confidence was malleable as a function of interviewers' beliefs about the thief's identity. In Experiment 2, participant jurors (n = 80) viewed 40 testimonies of Experiment 1 witnesses (2 participants viewed each testimony). Participant jurors judged all participant witnesses as equally credible despite their varying levels of postidentification confidence.
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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) | 0.001 | 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 it