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Record W2133378157 · doi:10.1002/acp.910

Phenomenal characteristics of co‐created guided imagery and autobiographical memories

2003· article· en· W2133378157 on OpenAlexaff
Kinda L. K. Kealy, Katherine D. Arbuthnott

Bibliographic record

VenueApplied Cognitive Psychology · 2003
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsUniversity of ReginaWestern University
Fundersnot available
KeywordsPsychologyRecallMental imageAutobiographical memoryEncoding (memory)Cognitive psychologySimilarity (geometry)Event (particle physics)Guided imageryMemoriaJudgementCognitionArtificial intelligenceComputer scienceAnxietyImage (mathematics)

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.335
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2003
Admission routes1
Has abstractyes

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