EMOTIONAL EFFECT OF PHYSICAL AGGRESSION AMONG ADULTS IN THE GENERAL POPULATION IN A CANADIAN PROVINCE
Bibliographic record
Abstract
The emotional effect of personal involvement in physical agression was examined in a random sample of 1,753 adults from Ontario, Canada, using Computer Assisted Telephone Interviewing (response rate of 67%). Respondents reported a range of emotional responses from feeling good or justified to feeling angry, upset, terrified, disgusted, hurt, and embarrassed. Open-ended responses regarding emotional response were rated by the authors for 149 incidents of aggression, which yielded five categories: (1) positive impact 4%, (2) no feeling or no effect 31%, (3) mildly negative 20%, (4) moderately negative 28%, and (5) severely negative 17% (Kappa statistic of interrater agreement = .77). The substantial proportion of incidents involving positive or no emotional response suggests that a greater understanding of aggression among individuals can be gained by the development and application of a quantitative measure of emotional response that reflects the full range of emotions (positive and negative), using dimensions identified in this study such as feeling upset, fear, and anger.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".