Can suggestions of non-occurrence lead to claims that witnessed events did not happen?
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
In three experiments, we examined whether general suggestions of non-occurrence -suggestions that experienced events did not occur- would lead participants to claim that events they witnessed never happened. Participants viewed a video depicting the investigation of a child kidnapping case and subsequently were exposed to suggestions of non-occurrence either once (Experiments 1 and 3) or three times (Experiments 2 and 3). The results provided no evidence that single suggestions of non-occurrence influenced participants' memories or belief (Experiments 1 and 3). However, in two experiments (E2 and E3) the results provided clear evidence that repeated elaboration of suggestions of non-occurrence led participants to claim that the events they witnessed never happened. The finding that participants were influenced by repeated, but not single elaboration of suggestions of non-occurrence shows that reflective elaboration processes played an important role in leading participants to disbelieve the events they had witnessed.
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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 | 0.001 | 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 it