Greening and Energy Issues: An Analysis of Four Canadian Newspapers
Bibliographic record
Abstract
The concept of greening has been part of the public discourse for some time. The greening of energy, which is seen as essential for green growth and a green economy, which in turn is seen as essential for sustainable development, is part of this public discourse. Media is seen to be important in shaping public opinion. We investigated how two national Canadian newspapers (Globe and Mail and National Post) and two regional (Alberta) newspapers (Calgary Herald and Edmonton Journal) cover greening as it relates to energy issues. The key findings were: although 88% of newspaper articles that covered greening also covered energy issues, only 0.15% of the articles that covered energy issues also contained the term greening; greening was mostly framed in economical not environmental protection terms; many themes were covered but often only once in a given article and often in less than 10% of the overall articles. This analysis could give guidance to stakeholders such as industry and non-governmental organizations on how greening is discussed in relation to energy issues. The analysis suggests that there is a need for increasing the visibility of greening in energy covering articles, that a more analytical approach is needed linking it for example to the greening indicator discourse as indicators are envisioned to give guidance as to what to do how and that a rethinking of how stakeholders distribute their greening message as it relates to energy issues might be warranted.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".