Exploring Attribution of Responsibility in a Cross-National Study of TV News Coverage of the 2009 United Nations Climate Change Conference in Copenhagen
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AbstractThis study investigates how prime-time television news portrayed attributions of responsibility for climate change policy issues in the United States, China, and Canada. In analyzing news coverage of the 2009 climate change summit in Copenhagen, we distinguish between causal and treatment responsibility. Additionally, we develop frames to test Cerutti's conceptualization of responsibility attribution (2010). The results suggest that television news in the 3 countries portrayed treatment responsibility differently. The prominence of morality, global justice, and national efficacy frames varied across countries, and these conditions were associated with the treatment responsibility frame, partially lending support to the validity of Cerutti's conceptualization. Additional informationNotes on contributorsXuan LiangXuan Liang (M.A., University of Wisconsin-Milwaukee) is a Ph.D. candidate in the Department of Life Sciences Communication at the University of Wisconsin-Madison. Her research focuses on the intersection of science, media, and the public with an emphasis on the online environment.Jiun-Yi TsaiJiun-Yi Tsai (M.A., University of Florida) is a Ph.D. candidate in the School of Journalism and Mass Communication at the University of Wisconsin-Madison. Her research interests focus on the intersections of media psychology, strategic risk and health communication.Kristine MattisKristine Mattis (M.S., University of North Dakota) is a Ph.D. candidate in Environment and Resources at the Nelson Institute for Environmental Studies at the University of Wisconsin-Madison. Her research focuses on communication of environmental health and ecological risks.Magda KoniecznaMagda Konieczna (M.J., University of British Columbia, Canada) is a Ph.D. candidate in the School of Journalism and Mass Communication at the University of Wisconsin-Madison. She studies nonprofit news organizations and the future of public affairs journalism.Sharon DunwoodySharon Dunwoody (Ph.D. Indiana University) is Evjue-Bascom Professor Emerita in the School of Journalism and Mass Communication at the University of Wisconsin-Madison. She studies the construction of science and environmental messages, as well as the ways in which the public interprets and uses such messages.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 it