The Renewable Energy Transition and “the People” – Exploring the Intersections of Right-wing Populism and the Renewable Energy Transition in Portuguese Media Discourses
Bibliographic record
Abstract
Local contestation to the deployment of large-scale renewable energy infrastructures has been increasing. Right-wing populism has also been on the rise across the world. This article aims to explore the potential relations between these two socio-political issues, by analyzing Portuguese media discourses on the renewable energy transition and if and how those expose associations with right-wing populist rhetoric. 465 articles published by Portuguese newspapers were analyzed through Thematic Analysis, which revealed three main themes: Portugal at the forefront of the green transition; the dark side of the transition; and, less pervasively, energy justice as crucial for a green transition. These themes and how they are discursively organized resonate with far-right wing populist rhetoric, such as nationalist, anti-elitist and anti-establishment views. This might find echo in rural communities affected by the green energy transition feelings of marginalization.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".