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Record W3107493031 · doi:10.1177/0898264320972547

Are Positive Childhood Experiences Linked to Better Cognitive Functioning in Later Life?: Examining the Role of Life Course Pathways

2020· article· en· W3107493031 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aging and Health · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of Toronto
FundersNational Institute on Aging
KeywordsLife course approachPsychologyDevelopmental psychologyCognitionCognitive skillGerontologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Objectives: We examine whether childhood family well-being is associated with cognitive functioning and to what extent the association between the family context and cognitive functioning is explained by adulthood resources. Methods: Data are drawn from the National Social Life, Health, and Aging Project Wave 3 (2015/2016; N = 3361). We measured cognitive functioning using the Montreal Cognitive Assessment. Childhood family factors included family-life happiness, family structure, and family socioeconomic status. Education, social connectedness, self-mastery, and self-rated health were assessed as adulthood resources. Results: Respondents who grew up in a happy family had significantly higher levels of cognitive functioning. The formal mediation test suggests that a happy family life during childhood has a positive association with later cognition, in part, by enhancing self-mastery in adulthood. Discussion: Our findings provide evidence that positive childhood experiences are linked to later life cognition. The sense of control people have over their life circumstances is one potential pathway explaining this association.

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.

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 score0.176
Threshold uncertainty score0.284

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 integrity0.0000.000
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 head0.054
GPT teacher head0.330
Teacher spread0.276 · 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