Perspective Matters: When Visual Perspective Reshapes Autobiographical Memories
Bibliographic record
Abstract
Memories are prone to distortions, which have been linked to our unique point-of-view. Not only do we experience events from a particular visual perspective, we can also retrieve events from one of two perspectives: 1) an own eyes perspective, from the same viewpoint where the event was initially experienced, and 2) an observer-like perspective, where we might “see” ourselves in the remembered event. The particular visual perspective adopted, as well as the ability to shift between perspectives, is associated with changes in the subjective and objective characteristics of memories, which has led to debate regarding whether the presence of novel perspectives reflects inaccuracies or distortions. In this target article I will provide an overview of research on visual perspective in memories for events by discussing the circumstances in which adopting an observer-like perspective signals changes in memories that impact their veridicality and the legal applications to eyewitness testimony.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".