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Aging, Memory, and Frontal Lobe Functioning

2002· book-chapter· en· W2484701125 on OpenAlexaff
Fergus I. M. Craik, Cheryl L. Grady

Bibliographic record

VenueOxford University Press eBooks · 2002
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsBaycrest Hospital
Fundersnot available
KeywordsFrontal lobePsychologyCognitive psychologyNeuroscience

Abstract

fetched live from OpenAlex

A recent review of the evidence for the frontal lobe aging hypothesis concluded that too little attention has been paid to evidence for changes seen elsewhere in the brain and advocates a network approach to this issue, rather than a localization one. This chapter shows that the neuroimaging evidence indicates a critical role not only for the frontal lobes in cognitive aging but also for other areas as well. Age-related declines in memory do occur, but declines are much greater in the performance of some tasks (e.g., recall and working memory tasks) than that of others (e.g., recognition memory and implicit memory tasks). Age-related declines in brain volume are also differential, with the greatest amounts of atrophy being seen in the prefrontal cortex and neostriatum. It is now clear that age-related changes in prefrontal cortical structure and function are related to the changes observed in memory performance, although the research is still in its early days.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.002

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 head0.104
GPT teacher head0.261
Teacher spread0.157 · 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 source (direct Gemma or distilled Codex), 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

Citations101
Published2002
Admission routes1
Has abstractyes

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