Food security and its impact on Saudi Arabia’s national security and gulf security
Bibliographic record
Abstract
This study investigates the relationship between food security and national security in Saudi Arabia and the Gulf region. It examines the impact of food insecurity on Saudi national security and the broader Arabian Gulf security, identifies the major challenges and limitations facing current food security policies and programs, and proposes strategic recommendations for enhancing food security. The study reveals direct impacts such as social unrest, economic instability, health implications, and migration while also highlighting indirect impacts, including political instability, economic consequences, social fragmentation, demographic pressures, and regional instability. The identified challenges encompass climate change, water scarcity, reliance on food imports, inefficient agricultural practices, socioeconomic disparities, and limited technology adoption. To address these challenges, the study recommends prioritising comprehensive food security policies, increasing investments in agriculture, research, and infrastructure, and fostering collaboration among governments, international organizations, academia, and the private sector. The findings underscore the significance of addressing food security to ensure national and regional stability and resilience in the face of evolving food security concerns.
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".