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
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.
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 | 0.000 |
| 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