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Record W2994599397 · doi:10.1037/pag0000384

Age, cohort, and period effects on metamemory beliefs.

2019· article· en· W2994599397 on OpenAlexaff
Christopher Hertzog, Brent J. Small, G. Peggy McFall, Roger A. Dixon

Bibliographic record

VenuePsychology and Aging · 2019
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsWomen and Children’s Health Research Institute
FundersNational Institute on AgingNational Institutes of Health
KeywordsMetamemoryPsychologyCohortPsycINFODevelopmental psychologyAnxietyLongitudinal studyYoung adultCognitionMetacognitionMedicinePsychiatryMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

= 1,555; ages 55-85) from the Victoria Longitudinal Study collected in 1986, 1992, and 2000 to evaluate period and cohort effects on 8 MIA scales. Alternative general linear models analyzed age, cohort, and period effects, while subsequently assessing gender differences in metamemory beliefs. Period effects were detected on the MIA Internal Strategy and External Strategy scales; self-reported use of internal strategies decreased while use of external memory aids increased over the historical period. Reliable cohort (generational) differences were found for MIA Change, with the lowest levels of perceived change in individuals born between 1916 and 1925. MIA Task, measuring knowledge about memory, produced small age and cohort effects. Gender differences emerged in metamemory, especially for the Internal Strategy and External Strategy scales (women reporting higher strategy use). Gender differences were also seen for the Capacity, Locus, Anxiety, and Achievement scales, with women reporting higher perceived memory efficacy, control, memory anxiety, and greater motivation to have better memory, respectively. The historical trends in metamemory beliefs should be replicated with other measures and other populations; however, the results generally confirm conclusions from earlier cross-sectional studies regarding age sensitivity of metamemory beliefs from middle age to old age. (PsycINFO Database Record (c) 2019 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)0.001
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 score0.197
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.023
GPT teacher head0.376
Teacher spread0.353 · 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

Citations24
Published2019
Admission routes1
Has abstractyes

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