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Record W2902991024 · doi:10.1037/pag0000315

Individual differences in executive functions and retrieval efficacy in older adults.

2018· article· en· W2902991024 on OpenAlexafffund
Fergus I. M. Craik, Eldar Eftekhari, Ellen Bialystok, Nicole D. Anderson

Bibliographic record

VenuePsychology and Aging · 2018
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsYork UniversityBaycrest Hospital
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEpisodic memoryPsychologyRecallPsycINFOSemantic memoryCognitive psychologyTask (project management)CognitionReconstructive memoryDevelopmental psychologyInformation retrievalExplicit memoryMEDLINEComputer science

Abstract

fetched live from OpenAlex

Two prominent aspects of memory problems in older adults are a difficulty in retrieving recent episodic events and an often transient inability to retrieve names and other well-known facts from semantic memory. The question addressed in the present studies was whether these age-related difficulties reflect a common cause-a retrieval problem related to inefficient executive functions (EF). In the first study, 50 older adults were given 4 tests of EF; a derived composite measure correlated strongly with a measure of retrieval efficacy in free recall, less strongly with paired-associate recall, and nonsignificantly with retrieval of general knowledge. A second study used somewhat different measures of EF and also different measures of retrieval from semantic memory, and this study did find significant relations between EF, episodic memory, and knowledge retrieval. Changes in the specific tests representing both EF and memory retrieval changed the relations between them, suggesting that no one task is a pure measure of the theoretical constructs of either EF or episodic and semantic memory. Taken together, the 2 studies showed that individual differences in EF in older adults are correlated with retrieval efficacy in both episodic and semantic memory but also that these relations depend on the specific measures chosen to represent both EF and memory retrieval. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.223

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 head0.030
GPT teacher head0.358
Teacher spread0.329 · 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

Citations29
Published2018
Admission routes2
Has abstractyes

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