Emotional pathways to climate change responses
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
Abstract The first trigger to any form of personal and collective change begins with emotions. They influence whether and how our attention is drawn to stimuli, how we reflect upon those stimuli, and how we choose courses of action. Emotions are thus at the center of social responses to climate change. We offer a selective, interdisciplinary review of emotions research to inform the development of a hypothetical emotion–cognition model of climate change response, followed by exploration of the emotional precedents supporting three prevailing behavioral responses which support inaction: apathy, denial, and withdrawal. We then review research that can inform emotion triggers to pro‐climate adaptive and mitigative action. We conclude with a discussion of two key research needs: intersectionality and interdisciplinarity. Addressing these needs will enhance our ability to respond to the climate emergency. This article is categorized under: Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it