Bibliographic record
Abstract
Since the release of the 3rd Assessment Reports from the Intergovernmental Panel on Climate Change (ipcc) in 2001, there have been many efforts to engage the American public.This is not a comprehensive timeline but an overview of events and changes relevant to this book. 2001The IPCC, an international organization of thousands of climate scientists, representing 130 countries, and formed by the World Meteorological Organization and United Nations Environment Programme, releases its 3rd Assessment Reports.-Sheila Watt-Cloutier begins four-year term as chair of the Inuit Circumpolar Council (ICC).-Following the founding of their Energy and Climate Change program a year earlier, Ceres, a corporate social responsibility group based in Boston, meets to discuss how to link risk to climate change.-Gallup begins polling Americans about whether news coverage of climate change is exaggerated, correct, or underreported.By 2010, those who see news coverage as exaggerated will reach a high of 48 percent.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 0.002 |
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".