<b>Energy literacy: towards a conceptual framework for energy transition</b>
Bibliographic record
Abstract
Energy is fundamental to our existence. And yet, energy remains difficult to understand and discuss, particularly the impacts or limitations of certain energy systems and how energy functions in sociocultural contexts. Bridging theory and practice, energy literacy expands what we know about energy and how we may think about it in the world around us. Acknowledging how the world’s energy supply and use directly connects to the climate emergency, this article demonstrates how energy literacy can offer environmental and sustainability education other ways of addressing the energy transition. Understanding the underpinnings of energy – with integrated aspects of epistemology, ontology, and application (i.e., what energy is, what energy is about, and what energy does) – leads to the question: what approach effectively translates these experiences and knowledges to a wide range of users, learners, and stakeholders? This article proposes a conceptual framework of energy literacy that considers theoretical ideas and concepts to translate complex systems and understand energy more holistically.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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; both teacher heads agree on what is shown here.
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".