Bibliographic record
Abstract
Revision with unchanged content. As the chorus demanding substantive worldwide action on global warming grows louder, the stakes are ever higher for human health, the environment, and the economy. Research has established that the news media both reflect and influence public opinion and the policymaking process. An understanding of news coverage of climate change and its sibling, the ozone hole, is invaluable for anyone serious about addressing today's global environmen-tal problems. This interdisciplinary study illuminates the impact of American press coverage on the global warming and stratospheric ozone debates as they unfolded over the past quarter century. Using an original content ana-lysis approach, it takes stock of trends in economic, political, social, scientific, and environmental arguments in hundreds of news reports and examines their role in the very different outcomes of the Kyoto and Montreal protocols. Interviews with key players in the process round out the analysis. This work is relevant to many fields - including communication, journalism, environmental studies, and the policy sciences - and it has important implications for those working on the front lines of today's climate change fight.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".