Early childhood education for sustainable development in the Nordic national curricula: status and content
Bibliographic record
Abstract
This study explores how early childhood education for sustainability (ECEfS) is directly framed in the Nordic curriculum. The study’s theoretical background builds on theories and research viewing ECEfS as a comprehensive approach which integrates the three pillars of sustainability. To explore the status of ECEfS, Nordic curricula were analysed using qualitative content analysis, specifically examining sustainability concepts and the contexts of these concepts in relation to the sustainability pillars. The findings reveal that sustainability education is included in the Nordic national curricula for early childhood education and care (ECEC), but the emphasis varies: ecological and economic sustainability were prioritised over sociocultural sustainability, which is scarcely addressed in some curricula. Incorporating the concept of sustainability into national curricula could encourage teachers to recognise its comprehensive value beyond nature conservation. Additional research is needed to guide the implementation of ECEfS as well as teachers’ understanding of policy documents.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".