Adapting Agriculture to Climate Variability: Executive Summary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
These paired conferences were an outgrowth of a joint meeting of Canadian and American agricultural leaders at Fargo, N.D., on Sept. 30, 2009, to explore the potential impacts of increased climatic variability on agriculture. A committee was formed to bring together agricultural leaders from the prairie provinces of Canada and the Northern Central Region of the United States of America to increase awareness of the importance of a proactive approach by the agricultural sectors in addressing the research, education, public policy, and technology transfer challenges associated with climate variability on the long-term sustainability of agriculture. Paired conferences were conducted in Winnipeg and Kansas City in March 2010. A key outcome of these meetings was the recognition that a collaborative effort is required for agriculture to respond to weather variability. The implications to regional economic sustainability, national food security, and the viability of the bio-fuel industry motivated participants to support immediate action.
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.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it