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Record W3169638868 · doi:10.31234/osf.io/z3uyf

The Insulating Function of Sleep for Well-being: Daily Sleep Quality Attenuates the Link between Current Affect and Global Life Satisfaction

2021· preprint· en· W3169638868 on OpenAlexaff
Emily C Willroth, Arasteh Gatchpazian, Sabrina Thai, Bethany Lassetter, Matthew Feinberg, Brett Q. Ford

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsAffect (linguistics)Psychological interventionLife satisfactionPsychologySleep (system call)Everyday lifeQuality of life (healthcare)GerontologyClinical psychologySocial psychologyMedicinePsychiatryPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Transient affect can be tightly linked with people’s global life satisfaction (i.e., affect globalizing). This volatile judgment style leaves life satisfaction vulnerable to the inevitable highs and lows of everyday life, and has been associated with lower psychological health. The present study examines a potentially fundamental but untested regulatory role of sleep: insulating people’s global life satisfaction from the affective highs and lows of daily life. We tested this hypothesis in two daily diary samples (N1=3,011 daily diary observations of 274 participants and N2=12,740 daily diary observations of 811 participants). Consistent with preregistered hypotheses, following nights of reported high-quality sleep, the link between current affect and global life satisfaction was attenuated (i.e., lower affect globalizing). Sleep-based interventions are broadly useful for improv-ing psychological health and the current findings suggest another avenue by which such interventions may improve well-being: by providing a crucial protection against the risks associated with affect globalizing.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0030.000

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 head0.056
GPT teacher head0.375
Teacher spread0.319 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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