Implausibility inhibits but does not eliminate false autobiographical beliefs.
Bibliographic record
Abstract
The role of the plausibility of suggested events in the formation of false autobiographical beliefs and memories has long been debated. In two studies, the shape of the relationship between presuggestion personal plausibility and the development of postsuggestion false beliefs was examined. Participants rated personal plausibility and autobiographical belief for childhood events. They later received a suggestion that an unlikely event occurred during their childhood and provided postsuggestion ratings. The best fit was a curvilinear relationship between plausibility and belief, with the lowest risk for false belief at the plausibility scale floor. Above this threshold, the risk for false belief increased sharply and remained similar across all other levels of plausibility. A minority of those who initially viewed the event as highly implausible showed increased beliefs; this was accompanied by large increases in personal plausibility. We conclude that only extreme implausibility inhibits suggestion-induced false autobiographical beliefs, unless suggestions cause increases in plausibility ratings.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".