Global traders and the integration of Chile and Mexico into the configuration of the global value chain of berries
Bibliographic record
Abstract
This paper examines the configuration of the global value chain of berries (GVCB) by analysing the trajectories and strategies of global trading firms; as well as the local advantages of Chile and Mexico that allowed them to integrate into this chain. The study applies the basis of the methodology of multiple case studies. The results show that the trading companies configured the GVCB by making use of their knowledge of the berry market, the plant genetic improvement, the growth in the world consumption, and the advances in the logistics for long-distance trading. Trading companies promoted the berry production of Chile and Mexico to reduce the seasonality of the offer considering their comparative advantages, such as access to destination markets, the agro-climatic conditions, the availability and cost of production factors, and the institutional context. Multinational berry traders have driven the configuration of GVCB through global expansion strategies and use their governance power to coordinate global chain operations. Local actors from both countries took the opportunity to integrate into global markets and developed highly dynamic production clusters, which they adapted to their conditions. The GVCB also faces challenges due to growing concerns about environmental care and social responsibility for workers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".