Historical Construction of Local Food System Transformations in Lebanon: Implications for the Local Food System
Bibliographic record
Abstract
Food system transformations occur in a complex political, economic, social, and territorial landscape. The study provides a historical construction of global food regime changes and the adaptiveness, transformability, and resilience of the local food system in Lebanon, a Middle Eastern context. Lebanon offers a unique opportunity to understand the influence of global food regimes and geopolitics on agriculture, the local food system, and capital accumulation. After the 1975–1990 Lebanese Civil War, Lebanon experienced food retail transformation and international penetration through foreign investments. These alterations have several implications for society and the local food system: farming households' influence on agricultural policies and the political commitment to support the farming community decreased. The paper concludes that Lebanon's local food system transformation is a manifestation of geopolitical events and global food regime changes. This may have important implications and pave the way for a new food system that is based on the revitalization of agriculture and new forms of geoeconomic partnerships with regional actors.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".