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Record W2920718270 · doi:10.1007/s11031-019-09759-9

Embracing me-time: Motivation for solitude during transition to college

2019· article· en· W2920718270 on OpenAlexaff
Thuy-vy Thi Nguyen, Kaitlyn M. Werner, Bart Soenens

Bibliographic record

VenueMotivation and Emotion · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsCarleton University
Fundersnot available
KeywordsSolitudeLonelinessPsychologyAutonomySocial psychologySelf-determination theoryDevelopmental psychology

Abstract

fetched live from OpenAlex

The present research examined the role of university students’ motivation for spending time alone in their adjustment to college life, as well as the parenting correlates of students’ healthy motivation for solitude. Two studies were conducted on first-year college students in the United States (n = 147) and Canada (n = 223). In Study 1, data was collected at three different time points, separated by two-week intervals. In Study 2, data was collected at two different time points, separated by a month. The results revealed that, for those who reported perceiving lower social belonging, approaching solitary time for autonomous reasons was linked to greater self-esteem (Study 1), and greater sense of relatedness to others and lower loneliness (Study 2). These findings suggest that endorsing a healthy motivation for solitude is not necessarily indicative of social ill-being. Additionally, students’ autonomous motivation for spending time alone was associated with having parents that are autonomy supportive and that promote a sense of independence.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.282
Teacher spread0.261 · 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

Citations62
Published2019
Admission routes1
Has abstractno

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