The Role of Cynicism in Social Responses to the Climate Emergency
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
Cynicism poses a potentially formidable barrier to personal and collective investments in addressing the climate emergency that has yet to receive substantive research attention. In this article, the results of a qualitative study involving interviews with 74 participants in Canada and the United States regarding personal perspectives on climate change are presented. Several different forms of cynicism were expressed across the sample, including media cynicism, government cynicism, policy cynicism, political economy cynicism, human nature cynicism, and science cynicism. Using cooccurrence analysis, cynicism was found to be strongly associated with confidence in societal response to the climate emergency, and personal feelings of powerlessness. Although not the most prevalent cynicism code, political economy cynicism had the strongest level of cooccurrence with low response confidence and powerlessness. The implications for research and praxis are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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