Phenomenal characteristics of co‐created guided imagery and autobiographical memories
Bibliographic record
Abstract
Abstract Concern has recently been raised about the potential for guided images to be mistaken for memories of actual events. According to the reality‐monitoring framework, such misattributions can occur due to the similarity of sensory and reflective memory characteristics acquired at encoding, or due to source judgement processes at retrieval. A study was conducted to examine the similarity of guided images and perceived memories at imagery encoding, and after a short delay. Participants rated the characteristics of an actual event, a natural imagery event (e.g. a fantasy), and a guided imagery experience, immediately and after a one‐week interval. For each condition, participants discussed their memory or guided imagery experience with the researcher as they reviewed or created it. Ratings indicated that guided imagery was similar to perceived memory with respect to sensory characteristics. However, the factors associated with supporting memories (contextual and temporal detail, setting familiarity, and recollection of surrounding events) were less vivid for guided imagery than for perceived events. In all cases, these patterns were stable over time. Copyright © 2003 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".