The Importance of a Positive School Climate in Addressing Youth Retaliation
Bibliographic record
Abstract
Authoritarian and retributive discipline policies that characterize the crime control model of school discipline feed into a cycle of harm whereby aggressive behaviors, including retribution and revenge, are likely to be reinforced as normative responses to an unjust and unequal environment. These policies are ineffective at reducing violence and delinquency, can result in poor academic outcomes, are disproportionately applied, and have negative impacts on the school climate. They also fail to capture the importance of teaching students the social and behavioral skills that are associated with better academic and behavioral outcomes. By contrast, the school climate is an important malleable component that can have positive impacts on a variety of outcomes. Whole school approaches to positive discipline such as Positive Behavioral Interventions and Supports and Restorative Justice are far more promising policies to improving the school climate and associated student outcomes, including retaliatory behavior.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".