Representing Global Public Concern: A Critical Analysis of the Danish Participatory Experiment on Climate Change
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
Drawing on the recognition that questions of discourse and power are vital components in analysing the public participation in environmental governance, this paper examines the ways in which dominant scientific discourses about the Earth's climate inform the types of public talk facilitated in and by mini-publics, particularly when they are ‘scaled up’ to address environmental issues such as climate change. World Wide Views on Global Warming (WWViews) serves as a case study. Conceived and organised by the Danish Board of Technology, WWViews was a historically unprecedented public forum in which participants, invited from a range of nations, were given the opportunity to deliberate on key themes addressed in the negotiations taking place during the United Nations Convention on Climate Change in Copenhagen (COP 15). The overarching purpose of this analysis is to invite reflection on the practices and assumptions that serve to make up publics in relation to issues that have been framed, predominantly, as scientific, universal and global.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it