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
Buss and Perry (1992) developed the Aggression Questionnaire (AQ) to assess aggressiveness as a personality trait in high school and college samples. The AQ has been used by researchers in United States, Italy, Germany, Netherland, Japan, Canada, and Greece. The present study is reported on an Arabic adapted version of the AQ among a sample of 510 Egyptian high school students. An exploratory factor analysis technique defined four factors: physical aggression (9 items), verbal aggression (5 items), anger (7 items), and hostility (8 items). The correlation among the four factors ranged from 0.38 to 0.49. A confirmatory factor analysis revealed that the AQ could be described by four first levels factors that were linked by a higher order factor of general aggression. Rasch analysis showed that the AQ was bias free. Relevance of these findings to the assessment of the trait aggressiveness is discussed.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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