Publics and UK parliamentarians underestimate the urgency of peaking global greenhouse gas emissions
Bibliographic record
Abstract
Intergovernmental Panel on Climate Change assessment reports treat politicians as recipients of information, but not as foci of research efforts. Moreover, academic research on politicians' knowledge concentrates on belief in climate change's anthropogenic cause. Little is known of how aware national parliamentarians are of key findings and policy recommendations from assessment reports. Here, we address this through a survey of 100 Members of Parliament in the United Kingdom on their knowledge of the well-publicised statement from the 6th assessment report of when global greenhouse emissions need to peak for a global temperature increase limit of 1.5 °C to be possible. Parliamentarians overwhelmingly overestimate the time period humanity has left to bend the temperature curve although partisan differences apply. Public surveys in Britain as well as Canada, Chile and Germany show similarly low knowledge, yet being younger, worried about climate change, and having lower levels of conspiracy belief mentality increase accuracy significantly.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".