Bibliographic record
Abstract
The two volumes Climate Change and Vulnerability and Climate Change and Adaptation are products of Assessments of Impacts and Adaptations to Climate Change (AIACC), a project that benefited from the support and participation of numerous persons and organizations. AIACC was funded by generous grants from the Global Environment Facility, the Canadian International Development Agency, the US Agency for International Development, the US Environmental Protection Agency and the Rockefeller Foundation. The initial concept for the project came from authors of the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) and was championed by Robert Watson, Osvaldo Canziani and James McCarthy, the IPCC chair and IPCC Working Group II co-chairs, respectively, during the Third Assessment Report. The productive relationship between AIACC and IPCC was continued and nurtured by Rajendra Pachauri, the current Chair of the IPCC, and Martin Parry, who joined Dr Canziani as cochair of IPCC Working Group II for the Fourth Assessment Report.
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 | 0.000 | 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) | 0.290 | 0.079 |
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".