The Brief Irritability Test (BITe)
Bibliographic record
Abstract
Elevated levels of irritability have been reported across a range of psychiatric and medical conditions. However, research on the causes, consequences, and treatments of irritability has been hindered by limitations in existing measurement tools. This study aimed to develop a brief, reliable, and valid self-report measure of irritability that is suitable for use among both men and women and that displays minimal overlap with related constructs. First, 63 candidate items were generated, including items from two recent irritability scales. Second, 1,116 participants (877 university students and 229 chronic pain outpatients) completed a survey containing the irritability item pool and standardized measures of related constructs. Item response theory was used to develop a five-item scale (the Brief Irritability Test) with a strong internal structure. All five items displayed minimal conceptual overlap with related constructs (e.g., depression, anger), and test scores displayed negligible gender bias. The Brief Irritability Test shows promise in helping to advance the burgeoning field of irritability research.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".