Helping to postpone the last whimper: Adult learning and education for sustainable development in the National Energy and Climate Plans of Poland, Portugal and Slovenia
Bibliographic record
Abstract
The article compares discourses of the National Energy and Climate Plans (NECPs) of Poland, Portugal and Slovenia concerning the role of adult learning and education for sustainable development. NECPs are analysed through a theoretical proposal based on Escobar's (2005) and Krause's (2010) contributions, establishing three approaches to development and adult learning and education: a) a progress-oriented and aware citizen approach; b) a global, critical and transformative approach; and c) an active global and local participatory approach. Main conclusions highlight a progress-oriented and aware citizen approach in the EU-initiated NECPs. Additionally, a top-down approach is evident in the policy documents, as well as an alignment with the liberal theory of development without a deeper reflection on local contexts, evidencing a marginal role of adult learning and education.
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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 | 0.000 | 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 | 0.000 |
| 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".