Biography Becomes Autobiography: Distorting The Subjective Past
Bibliographic record
Abstract
This work addresses whether creating a biographical sketch for a fictional adolescent can increase confidence that one personally experienced these details in adolescence (memory distortion) and whether susceptibility to such distortion depends on whether adolescence is considered part of one’s subjective past or subjective present. We divided the subjective past and present using the point at which a person experienced the last life event that changed his or her personality significantly. We operationalized the subjective past as events associated with the period before the last life-changing event and the subjective present as events associated with the period after that event. Participants’ confidence in their own autobiographical memory increased after they wrote a brief story about a fictional character. This increase occurred only for those who considered adolescence to be part of their subjective past. These results indicate that subjective time (in addition to objective time) may be a valuable factor in determining who is susceptible to memory distortion. We discuss these findings in terms of familiarity attribution and source monitoring.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".