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Record W2076312172 · doi:10.5539/ijps.v6n2p138

Parlez-vous français? Episodic and Semantic Feeling of Knowing in Aging

2014· article· en· W2076312172 on OpenAlexvenueno aff
Suzannah Morson, Chris J. A. Moulin, J Havelka, Céline Souchay

Bibliographic record

VenueInternational Journal of Psychological Studies · 2014
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsMetamemoryEpisodic memoryPsychologySemantic memoryFeelingCognitive psychologyAutobiographical memoryDevelopmental psychologyCognitionMetacognitionSocial psychologyRecallNeuroscience

Abstract

fetched live from OpenAlex

As well as memory performance, the sensations and experiences that accompany memory retrieval can beinformative regarding changes to memory that occur with aging. One such experience is the Feeling of Knowing(FOK), the sensation that an item which has failed to be recalled is nonetheless stored within the memory system,though temporarily unavailable. Older adults consistently show preserved FOK accuracy for semanticinformation. However, measures of FOK accuracy in episodic memory tasks have yielded inconsistent findings.The present study used a novel language translation paradigm to assess the effect of age on semantic andepisodic FOK judgments, and to examine the impact of repeated learning trials on episodic FOKs. As expected,no age effect was found for semantic FOK judgments. For episodic judgments, older adults’ only were found tohave chance levels of performance: FOK judgments in the older adult group were not predictive of futurememory performance. Repeated learning trials led to comparable improvements in FOK accuracy between thetwo age groups, although older adults remained at chance until after the third learning trial. Results areinterpreted within recent memory and metamemory frameworks.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.091
GPT teacher head0.398
Teacher spread0.307 · 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 designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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