Eyewitness Misidentification: Single vs Double-Blind Comparison of Photospread Administration
Bibliographic record
Abstract
Interactive effects of photospread procedures (blind administration or has knowledge of suspect identity) and presentation techniques (sequential or simultaneous photospreads) on false eyewitness identification rates were examined. Of 117 subjects (57 men and 60 women), 87 served as a witness sample and 30 as a photospread administrator sample. Witnesses viewed a 20-sec. mock robbery video prior to viewing a photospread of six photographs either simultaneously or sequentially. Half of the administrators, prior to displaying the photospreads, were made aware of the photograph of the designated suspect (single-blind condition). Consistent with previous findings, sequential presentation was associated with both lower overall false identification rates as well as lower suspect designated-misidentification rates. In each case, there was evidence that administrators' knowledge increased false identification rates more in simultaneous than in sequential presentation conditions. Implications for administrations by police investigators are discussed.
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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) | 0.000 | 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".