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Record W4402136316 · doi:10.31234/osf.io/b3zws

Investigating the Daily Relationship between Subjective Age and Daily Events

2024· preprint· en· W4402136316 on OpenAlexaff
Patrick Klaiber, Theresa Pauly

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsActivities of daily livingPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Objectives: Subjective age, or felt age, refers to individuals' perception of their age compared to their chronological age. Feeling older than usual has been associated with experiencing more same-day stressors and higher negative affect. Feeling older may indicate depleted psychological resources, increasing the likelihood of interpreting everyday situations as stressful and reacting more intensely to them. Conversely, feeling younger may indicate greater psychosocial resources, enhancing engagement in and responsiveness to positive events. Methods: This study investigated fluctuations in subjective age as a predictor of same-day event occurrence (stressors and positive events) and affective responses to these events using 14-day diary data from a sample of 108 older Swiss adults (aged 65-92). Results: On average, participants felt approximately 8 years younger than their chronological age, with significant day-to-day variability (ICC = .69). On days when individuals felt older than usual, they reported more stressors and fewer positive events. Older subjective age was also associated with greater stress reactivity (greater upticks in negative affect and greater dips in positive affect) and more pronounced responses to positive events. Time-ordered effects showed SA predicting positive events, but not stressors.Discussion: These findings underscore the importance of subjective age as a dynamic psychological construct potentially shaping the events people encounter and how they affectively respond to them. In addition, the lagged analyses provide evidence for subjective age as a predictor of daily event processes, but not for daily events as predictors of future subjective age, which contributes to disentangling the direction of 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient 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 score0.322
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.202
GPT teacher head0.434
Teacher spread0.232 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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