Evolutionarily relevant aggressive functions: Differentiating competitive, impression management, sadistic and reactive motives
Bibliographic record
Abstract
This study investigated early adolescents' (ages 9-14; M = 11.91) self-reported, evolutionarily relevant motives for using aggression, including competitive, impression management, sadistic, and reactive functions, and examined differential relations with a range of psychosocial characteristics. As expected, competitive functions were associated with aggression and victimization in which the perpetrator had equal or less power than the victim, in line with the view that these are aversive and appetitive motives related to competition with rivals. Impression management and sadistic functions were associated with bullying and coercive resource control strategies (the latter for boys only), consistent with expectations that these are appetitive motives, with the former being more goal-directed and the latter somewhat more impulsive. Finally, as hypothesized, reactive functions were associated with emotional symptoms, hostility, victimization by bullying, and aggression by perpetrators with equal or less power than the victim, consistent with theory and research conceptualizing reactive aggression as an impulsive, emotion-driven response to provocation. The benefits of studying a wide range of evolutionarily relevant aggressive functions are discussed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".