Irrigation in the context of today's global food crisis
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
Abstract During 2008 the world witnessed a global food crisis which caused social unrest in many countries and drove 75 million more people into poverty. The crisis resulted from sharply higher oil prices, increased bio‐fuel production, dwindling grain stocks, market speculation, changing food consumption patterns in emerging economies, and changes in world trade agreements, among other factors. Although the rise in food prices was sudden, the fragility of global food security had been developing for years. During the 1960s and 1970s food production kept pace with demand as more cropland was irrigated and yields of irrigated crops increased dramatically. Irrigation played a critical role in combating hunger, poverty and death due to malnutrition. However, the environmental and social consequences of large irrigation schemes came into question, and investments in irrigation subsequently diminished. Today's food crisis is compounded by a rapidly growing world population, the conversion of food producing lands to bio‐fuel production, diminishing available freshwater supplies, competition for water by other sectors, climate change impacts, and the reduction in arable lands due to urbanization. It is critical that investments focus on increasing agricultural production through improved management of land and water resources, and the involvement of all stakeholders. Copyright © 2010 John Wiley & Sons, Ltd.
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 | 0.000 | 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) | 0.000 | 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 it