Education toward cosmopolitanism as a pathway to reducing polarisation
Bibliographic record
Abstract
Polarisation poses significant challenges to societal cohesion and democracy. This article explores how education, guided by cosmopolitan principles, can address these divides by fostering empathy, promoting intercultural dialogue, and challenging exclusionary narratives. This article advances the concept of rooted cosmopolitanism by demonstrating how local cultural attachments can complement global ethical principles by balancing particularistic and universalistic values. Through examples of case studies conducted in Canada, Israel, and India, this article highlights the adaptability of cosmopolitan education in diverse sociopolitical contexts and illustrates how education can bridge divides, promote mutual respect, and foster unity in diversity. The practical strategies include integrating global and local perspectives into curricula, promoting experiential learning to engage with diversity, and equipping educators with cultural competence and anti-bias tools. While resistance to change and resource constraints persist, the findings underscore education’s transformative potential to reduce polarisation and cultivate inclusive, equitable communities. This calls for sustained efforts to embed rooted cosmopolitan principles into education, by providing a framework for bridging divides and preparing students to navigate an interconnected world.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".