The Study on the Influence of Trait Anger on Aggression Behavior from the Perspective of Crime Prevention
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
Aggressive behavior is closely related to problem behavior and criminal behavior, and the aggressive behavior shown by individuals in the past may evolve into criminal behavior in the future. Therefore, it is very important to study the influencing factors of aggressive behavior. Trait anger, as a stable personality tendency, refers to the frequency, intensity and duration of people's anger experience. It's the premise of state anger and aggression. Trait anger can directly and indirectly affect aggressive behavior. Based on the theoretical review of the influence of trait anger on aggressive behavior, intervention measures were proposed from four aspects of cognitive intervention, avoidance motivation training, forgiveness intervention and mindfulness intervention to reduce the aggressive behavior of individuals with high trait anger.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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