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Record W2049414252 · doi:10.1002/acp.1404

Judgement of confidence in childhood memories

2007· article· en· W2049414252 on OpenAlexaff
Katherine D. Arbuthnott, Kinda L. K. Kealy, Shelley Ylioja

Bibliographic record

VenueApplied Cognitive Psychology · 2007
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsSaskatchewan HealthHealth CanadaCampion CollegeUniversity of WindsorUniversity of Regina
Fundersnot available
KeywordsJudgementPsychologyAutobiographical memoryChildhood memoryCognitive psychologyConsistency (knowledge bases)Reconstructive memoryMemory errorsPhenomenology (philosophy)MetacognitionEpisodic memoryMetamemoryChildhood amnesiaDevelopmental psychologyCognitionRecallArtificial intelligenceComputer scienceEpistemologyNeuroscience

Abstract

fetched live from OpenAlex

Abstract Memory judgement processes, based on the characteristics and associations of retrieved memories such as sensory details and supporting memories, are considered as important as retrieval in several autobiographical memory models. Judgement processes have received less research attention than memory characteristics themselves. The present studies examined memory judgement using qualitative analysis of the reasons participants gave for confidence in retrieved childhood memories. For memories they were confident of, participants cited memory phenomenology, especially sensory and affective details, much more frequently than consistency with other autobiographical knowledge. For memories they were not confident of, participants reported lack of consistency with autobiographical knowledge or with others' memories more often than memory phenomenology as reasons for their uncertainty. Participants' comments also revealed several metacognitive beliefs about the relationship between memory characteristics and accuracy. These data are consistent with two‐process models of memory judgement associated with true versus false memories. Copyright © 2007 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 score0.211
Threshold uncertainty score0.481

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 studies0.0000.000
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 head0.040
GPT teacher head0.351
Teacher spread0.311 · 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

Citations13
Published2007
Admission routes1
Has abstractyes

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