Attitudes of the Czech Public to Climate Change on Earth – August/September 2023
Bibliographic record
Abstract
In a survey conducted from the end of July to the second half of September 2023, the CVVM SOÚ AV ČR dealt with the long-standing and highly debated topic of climate change on Earth. We were interested in what the Czech public thinks about this topic. Just three-fifths (60%) of respondents are somewhat worried about the impacts of climate change (15% very worried, 445 somewhat worried), while 38% are not worried.\n\nMore than a half (51%) of respondents are interested in the issue of climate change, with 8% 'very interested' and 34% 'somewhat interested'. More than a quarter (27%) of respondents think that human activity contributes 'fundamentally' to climate change, 37% think it contributes 'a lot' and just under a third (31%) think it contributes 'a little'. Only 3% of respondents believe that human activity is 'not contributing at all' to climate change. 42% of respondents feel personally responsible for climate change on Earth, while the majority (56%) do not feel personally responsible.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".