Lay knowledge of eyewitness issues: A Canadian evaluation
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
Abstract Lay opinions concerning eyewitness topics were surveyed in three community samples of juror‐eligible participants in Canada. The scientific reliability of these topics had been previously evaluated by eyewitness experts. The first survey assessed participant responses to the identically worded expert items. Participants responded to many statements with greater accuracy than anticipated. Two subsequent surveys assessed the consistency of lay knowledge across variations in the directionality and wording of items and the provision of additional contextual information. Taken together, jury‐eligible participants frequently responded to survey items in ways that closely resembled the responses of experts and suggested awareness and understanding of these topics at levels beyond those previously obtained. Further, the provision of contextual information increased response accuracy and reduced the frequencies of ‘Don't Know’ responses. Deficiencies in knowledge for 50% of the topics were also apparent; however, these topics were frequently those for which the experts themselves had not reached consensus. Copyright © 2008 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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