Education for Sustainability, Peace, and Global Citizenship: An Integrative Approach
Bibliographic record
Abstract
The complex nature of contemporary challenges requires a culture of cooperation between academic disciplines. However, to what extent do educational systems prepare students to think beyond the boundaries of austerely defined and often entrenched academic fields? UNESCO has successively called for Environmental Education, Education for Sustainable Development, and Education for Global Citizenship to incorporate complex socio-environmental issues into mainstream education. Despite the presence of strong institutional support by governments and international organizations, the introduction of these interdisciplinary approaches into actual educational settings has been slow. With no intention to underestimate the pertinence and agency of strong political will in promoting educational change, we explore the presence of deeper, epistemological issues that may account for the generally slow progress of interdisciplinary pedagogies. To elaborate on this discussion, we focus on pragmatic solutions that can promote the integration of environmental, sustainability, and global citizenship education into the existing educational ethoi.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".