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Record W4312058928 · doi:10.31763/jsse.v2i1.30

Canadian adolescents’ solitude experiences, self-perceptions, and well-being

2022· article· en· W4312058928 on OpenAlexaffabout
Sandra Bosacki

Bibliographic record

VenueJournal of Silence Studies in Education · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsBrock University
Fundersnot available
KeywordsSolitudeHappinessPsychologyFeelingWell-beingDemographicsLonelinessPsychology of selfDevelopmental psychologyPerceptionSelf-conceptSocial psychologyClinical psychologyDemographyPsychotherapistSociology

Abstract

fetched live from OpenAlex

This paper explores adolescents’ solitude activities, their reasons for choosing to be alone, and how they think and feel when they are away from others. Gender and age differences were also explored.ApproachWe looked at the links between solitary activities and emotional well-being and personal happiness. Sixty-one adolescents (68% female, Mage = 16.14 ± .50) completed self-report on-line measures assessing time alone, solitary activities, and indices of adjustment.FindingsMajority of participants reported that they were alone by choice, and that they were more often with others than alone. Age and gender differences emerged in time alone, feelings of self-worth, and emotional well-being.Research Limitations The demographics of participants was limited to English-speakers in Eastern Canada, and data collection was affected by the COVID-19 pandemic.Practical Implications School programs could be developed to better equip adolescents with the skills necessary to be productive in, and feel positive about, time spent alone.

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)0.002
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 score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.420
Teacher spread0.389 · 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

Citations8
Published2022
Admission routes2
Has abstractyes

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