By myself and liking it? Predictors of distinct types of solitude experiences in daily life
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.
Bibliographic record
Abstract
OBJECTIVE: Solitude is a ubiquitous experience, often confused with loneliness, yet sometimes sought out in daily life. This study aimed to identify distinct types of solitude experiences from everyday affect/thought patterns and to examine how and for whom solitude is experienced positively versus negatively. METHOD: One hundred community-dwelling adults aged 50-85 years (64% female; 56% East Asian, 36% European, 8% other/mixed heritage) and 50 students aged 18-28 years (92% female; 42% East Asian, 22% European, 36% other/mixed) each completed approximately 30 daily life assessments over 10 days on their current and desired social situation, thoughts, and affect. RESULTS: Multilevel latent profile analysis identified two types of everyday solitude: one characterized by negative affect and effortful thought (negative solitude experiences) and one characterized by calm and the near absence of negative affect/effortful thought (positive solitude experiences). Individual differences in social self-efficacy and desire for solitude were associated with everyday positive solitude propensity; trait self-rumination and self-reflection were associated with everyday negative solitude propensity. CONCLUSIONS: This study provides a new framework for conceptualizing everyday solitude. It identifies specific affect/thought patterns that characterize distinct solitude experience clusters, and it links these clusters with well-established individual differences. We discuss key traits associated with thriving in solitude.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it