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
The Psychopathy Checklist-Revised (PCL-R) is a clinician rating instrument for psychopathic personality disorder. Although the instrument is routinely used in forensic assessment in Austria, Germany, and Switzerland, data on its psychometric properties in German-speaking countries are lacking. Based on a national sample of adult male sexual offenders assessed at a federal evaluation unit in Austria (N = 1,046), reliability and factor structure were estimated. More specifically, measurement invariance was assessed with respect to the North American normative data of male offenders. In the sample, the PCL-R achieved similar levels of reliability as those reported in the manual for North American male offenders. According to confirmatory factor analysis, a four-factor model of psychopathy described the data well. More specifically, weak measurement invariance (i.e., equivalence of loadings, not of thresholds) held in comparison with the North American data. The present findings support the suitability of the PCL-R for assessment purposes in German-speaking countries. However, the total score is not directly comparable to North American data given that only weak measurement invariance was observed.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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