Interventions Addressing Current Social Polarization in the School Context: A Scoping Review
Bibliographic record
Abstract
The current climate in schools is increasingly polarized, mirroring the social and political tensions at the meso- and macro-levels of society. This relatively recent phenomenon calls for school-based interventions, yet the existing empirical evidence is still scant. This scoping literature review aimed to provide an overview of existing studies that critically and/or empirically appraise interventions implemented at the intersection of social polarization and Diversity, Equity and Inclusion (DEI) in the school setting. It examined interventions both for students of all grade levels and ages and for pre- and in-service school professionals. A total of 60 studies were eligible for inclusion in this review. While student interventions involving arts-based methods, simulation approaches, and skill training appeared to be particularly promising, policy-oriented and didactic interventions yielded mixed results. These preliminary results suggest that school interventions facilitating expression and agency may have fewer adverse outcomes than more prescriptive approaches.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".