Differentiating accounts of actual, suggested and fabricated childhood events using the judgment of memory characteristics questionnaire
Bibliographic record
Abstract
Abstract Statement analysis procedures are used in forensic settings to classify reported events as experienced or non‐experienced. These procedures are typically validated using accounts of actual events and intentionally fabricated events. However, people can also unintentionally develop false memories. To examine whether inclusion of accounts of suggested events affects classification accuracy, we validated the judgment of memory characteristics questionnaire (JMCQ) statement analysis procedure using all three statement types. Participants attempted to recall two actual events and one suggested event from their childhood over two cognitive interviews, then intentionally fabricated an account of another childhood event. Fourteen of the 34 participants (41%) reported having experienced the suggested event. Independent raters then used the JMCQ to analyse and classify each type of statement from this participant subset. Inclusion of accounts of suggested events did not reduce classification accuracy. Raters tended to classify accounts of both fabricated and suggested events as non‐experienced. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".