Bibliographic record
Abstract
This reprint presents a collection of twelve scientific articles that delve into the complex relationship between climate change and food security in various regions of the world. The articles examine the impact of climate change on crop production, water resources, and livestock farming, and they explore potential adaptive measures to mitigate the effects of climate change on food security. The articles cover a wide range of geographic locations, from Southeastern Poland to Central Ethiopia, Algeria, Egypt, South Africa, Afghanistan, and Canada. Each article provides valuable insight into the impact of climate change on food security, including the potential link between drought and wild blueberry production in Maine, the use of geospatial assessments to guide climate adaptation strategies for flood-tolerant rice varieties in India, and the impact of non-conventional agricultural spaces on mitigating the effects of climate change on food security in Quebec, Canada. The authors also explore the impact of climate-smart agriculture interventions on food security and dietary diversity in Myanmar, as well as the determinants of smallholder livestock farmers' household resilience to food insecurity in South Africa. Additionally, the reprint includes a case study on water profitability analysis to improve food security and climate resilience in the Egyptian Nile Delta. Taken together, these articles provide a comprehensive understanding of the impact of climate change on food security and highlight the need for innovative solutions to ensure sustainable food systems in the face of climate change.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.020 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".