Equipping witnesses with transferable skills: the Self-Administered Interview <sup>©</sup>
Bibliographic record
Abstract
The Self-Administered Interview© (SAI) is a novel investigative interview tool with potential practical benefits. Research revealed that the SAI increases the recall of correct information without a decrease in accuracy. In addition, it seems to prevent forgetting. Participants who had completed the SAI after viewing an event remembered more correct details following a delay than participants who did not have this early recall opportunity. The current study examined whether the beneficial effects of the SAI go beyond the well-established testing effect. Does the SAI make a good witness for one event or for a better witness in general? If the SAI provides general skills, its effects may transfer at least partially to a new event. Two groups of participants watched an event followed by SAI or free recall (FR) instructions. After a one-week delay participants were presented with a second event and received FR instructions. In addition to replicating the SAI effect, experienced SAI participants recalled more correct details for the second event than inexperienced individuals. The findings suggest that the SAI equips witnesses with transferable skills they can use during future retrieval of new events.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".