A Short Boredom Proneness Scale
Bibliographic record
Abstract
It has been evident for some time that the Boredom Proneness Scale (BPS), a commonly used measure of trait boredom, does not constitute a single scale. Factor analytic studies have identified anything from two to seven factors, prompting Vodanovich and colleagues to propose an alternative two factor, short form version Boredom Proneness Scale-Short Form (BPS-SR). The present study further investigates the factor structure and validity of both the BPS and the BPS-SR. The two-factor solution obtained for the BPS-SR appears to be an artifact of item wording of reverse-scored items. These same items may also have contributed to the earlier complexity and inconsistency of results for the full BPS. An eight-item scale of only consistently worded items (i.e., those not requiring reverse scoring) was developed. This new scale demonstrated unidimensionality and the scale score had good internal consistency and construct validity comparable to the original BPS score.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".