Peacemaking: Conflict resolution using Cool Clues for elementary students
Bibliographic record
Abstract
It is recommended that violence prevention interventions start early for students and include conflict resolution education and social-emotional skills training components. Although school-based programs have shown some promise, community-based or out-of-school time programs require more study. A social-emotional learning-focused conflict resolution intervention using role-play and puppetry was implemented in a small afterschool program as an exploratory study. Student participants’ conflict resolution knowledge and after-school teacher observation of their pro-social skill behaviors were assessed pre- and post- program. Although many participants scored high in conflict resolution knowledge pre-program, they appeared to gain some additional knowledge, specifically on disagreements between friends and empathy for other’s feelings. After-school teachers, however, observed no significant overall differences in their pro-social behaviors pre- and post- program. All in all, as an exploratory study, the slight positive changes in knowledge provide data to suggest continuing the curriculum with more emphasis on the weakest topics as well as more role-play or puppet play about friendship and sharing behaviors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".