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Record W2169020812 · doi:10.1093/geronb/gbt047

Does the Age-Related Positivity Effect in Autobiographical Recall Reflect Differences in Appraisal or Memory?

2013· article· en· W2169020812 on OpenAlexaff
Emily Schryer, Michael G. Ross

Bibliographic record

VenueThe Journals of Gerontology Series B · 2013
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRecallAutobiographical memoryPsychologyValence (chemistry)Developmental psychologyYoung adultRecall testFree recallCognitive psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Two studies examined the extent to which the age-related positivity effect in autobiographical recall is the result of age differences in appraisal and memory. METHODS: In Study 1, older and younger participants reported 1 pleasant and 1 unpleasant event for 5 days. Participants attempted to recall those events a week later. In Study 2, older and younger participants imagined that positive, negative, and neutral hypothetical events had occurred either to themselves or to an acquaintance and were later asked to recall those events. RESULTS: In Study 1, younger adults reported a complete set of positive and negative events. Older adults reported a pleasant event each day, but 38% did not report an unpleasant event on at least 1 day. A week later, older and younger adults were equally likely to recall the events they had reported. In Study 2, older adults who imagined events happened to themselves rated events as more positive in valence than younger adults did. Older and younger adults were equally likely to remember pleasant and unpleasant events at the end of the study. DISCUSSION: The data suggest that the age-related positivity effect resides in the appraisal rather than the recall of autobiographical events.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.363
Teacher spread0.322 · 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.

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

Citations28
Published2013
Admission routes1
Has abstractyes

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