Bibliographic record
Abstract
One barrier to action on climate change is not talking about it. The majority of residents of the United States and Canada are concerned about climate change 1 , 2 but are reluctant to discuss it with family and friends 1 , 3 , 4 , 5 . Finding opportunities to promote conversation about climate change within existing social circles would help to increase the acceptability of climate actions 6 , 7 . In this study, 32 semi-structured interviews were held with representatives of nature-related organisations in Ontario, Canada, to ascertain how they perceive climate change. Most interviewees noticed local effects of climate change and were either Alarmed or Concerned about climate change, referencing Global Warming’s Six Americas 3 . Many worried about their chosen activity or their offspring. This suggests that nature lovers, who might distance themselves from the environmental movement 8 , could be amenable to discussing and acting on climate change. This article adds to the literature on laypeople’s understanding of climate change 9 , 10 , 11 .
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".