The Media Construction of Climate Change Quiescence: Veiling the Visibility of a Super Emitter
Bibliographic record
Abstract
Castells hypothesized two possibilities concerning global warming: i) a world awakening to the danger with policies to reverse it, or ii) the defense of productivism at all costs. Canada is presently pursuing economic benefits of a fossil-fuel superexporter, which makes it a superemitter. By focusing on the discursive legitimation of practices that cause anthropogenic climate change, this article shows how communication power in the Canadian mass media veils the adverse consequences of extracting oil from bituminous sand. It demonstrates how concern about emissions is dampened and quiescence socially constructed. The mediation between scientific warnings of danger and polluting social practices by media communication power constitutes an important element explaining why Canada’s emissions are increasing. It also explains why science, an institution claimed to be particularly influential in reflexive, cosmopolitan modernization, is having little influence in societies like Canada when it brings troubling news. The article shows how a scientifically documented environmental problem becomes a societal non-problem.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.036 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".