Conflict Interpretation: A Comparison of Canadian and Italian Aggressive and Non-Aggressive Youth
Bibliographic record
Abstract
The impact of persistent aggression on youths’ social and psychological well \nbeing is well documented. What is less well understood is the shaping effect of \ncultural differences on how such conflict is experienced and responded to. In this \nstudy, we asked youth to write a story about a conflict they experienced and \ndescribe their associated feelings. Participants included Canadian and Italian \ngirls and boys from grades 4 and 7 who were rated by their teachers as either \naggressive or non-aggressive. Results indicated that although there were no \nsignificant main effects for behavioural group or country in the description of the \nconflict, significant differences appeared in participants’ descriptions of \nassociated feelings. Specifically, non-aggressive participants were significantly \nbetter at generating psychological interpretions of actors’ intentions and \nexperienced significantly more congruent associated feelings. Additionally, \nCanadian participants were significantly better than Italian participants in \ngenerating psychological interpretation of conflicts.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".