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Record W4389084244 · doi:10.1111/jopy.12905

Looking beyond time alone: An examination of solitary activities in emerging adulthood

2023· article· en· W4389084244 on OpenAlexafffund
Alicia McVarnock, Robert J. Coplan, Hope I. White, Julie C. Bowker

Bibliographic record

VenueJournal of Personality · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyDevelopmental psychologyCognitive psychologySocial psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Solitude represents an important context for emerging adults' well-being; but to date, little is known about how emerging adults spend their time alone. The goals of this study were to: (1) describe and characterize solitary activities among emerging adults attending university; (2) examine links between solitary activities and indices of adjustment; and (3) explore the moderating role of affinity for solitude in these associations. METHODS: = 19.73, SD = 1.46; 59.7% female) who completed assessments of how/why they spend time alone and indices of psychosocial adjustment (e.g., well-being, psychological distress, loneliness, and aloneliness). RESULTS: Emerging adults who spent time alone predominantly thinking reported poor adjustment outcomes (i.e., higher loneliness and psychological distress, and lower well-being) and dissatisfaction with solitude, whereas those who engaged in active leisure activities or passive technology use while alone reported lower psychological distress and higher satisfaction with solitude. The negative implications of doing nothing were not attenuated at higher levels of affinity for solitude. DISCUSSION: These findings suggest that some solitary activities are more beneficial than others.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.024
GPT teacher head0.327
Teacher spread0.303 · 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.

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

Citations7
Published2023
Admission routes2
Has abstractyes

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