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Record W4413271196 · doi:10.1111/sode.70010

Using Language to Test Developmental Differences in Attitudes Toward Solitude in Adolescents and Emerging Adults

2025· article· en· W4413271196 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocial Development · 2025
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSolitudePsychologyDevelopmental psychologyLexiconValence (chemistry)Test (biology)Dominance (genetics)Rating scalePsychiatryLinguistics

Abstract

fetched live from OpenAlex

ABSTRACT The goal of this study was to assess developmental differences in adolescents’ and emerging adults’ attitudes toward solitude using three different methodologies. Participants were N = 1224 adolescents ( n = 367, ages 15–18 years, M age = 16.13, SD = 0.54; 65.7% female) and emerging adults ( n = 857, aged 18–29 years, M age = 19.75 years, SD = 2.28; 70.2% female). Participants completed a rating scale assessing explicit attitudes towards solitude. Linguistic indices of attitudes were also derived from participants’ descriptions of someone who ‘enjoys and values solitude’, using both content analysis and sentiment analysis. Themes derived from a content analysis of these descriptions included ‘Introvert’, ‘Ambivert’, ‘Neutral’, ‘Positive’ and ‘Negative’. Lexicon‐based sentiment analysis was also completed to assess levels of valence, arousal and dominance in each description. Results indicate a complex set of inter‐associations among methodological approaches to measuring attitudes toward solitude. However, across all three methodologies, emerging adults displayed more positive views of solitude than adolescents.

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.

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)0.000
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 score0.063
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.059
GPT teacher head0.378
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