Trait Boredom as a Lack of Agency: A Theoretical Model and a New Assessment Tool
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
Trait boredom plays a significant role in well-being. However, this construct suffers from conceptual ambiguity and measurement problems. The aim of this study was to propose a comprehensive theory and a strong assessment tool to address these limitations. We defined trait boredom as the frequent experience of state boredom resulting from a chronic lack of agency. We developed a six-item self-report scale of the tendency to often experience boredom. Results confirmed a uni-dimensional scale with strong psychometric properties, including adequate internal consistency (ω = .84-.93), interindividual stability (69.04% of variance accounted by a trait factor), and acceptable model fit (CFI = .977-.998, TLI = .962-.997, RMSEA = .025-.090, SRMR = .014-.029). Results confirmed the validity of the scale by showing its associations with related measures. Our findings provide clarity on trait boredom and a strong, new measure to be used in future work.
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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 | 0.000 |
| 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