Globalization, competitive advantages and the evolution of production systems: rural food processing and localized agri-food systems in Latin-American countries
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
This paper reviews the rise of geographic concentrations of small food-processing units in rural areas of Latin America, in order to show that, drawing on the literature on the development of clusters, they may represent a type of local productive system, namely Local Agri-food Systems. Furthermore it assesses whether they might compete efficiently in global food commodity chains. In this regard it analyses the specific assets of these systems, drawing on some specific cases, and stresses the conditions that can enable them to compete on national or even global markets in the supply of processed products. These conditions appear to be a capacity for collective action which, in this particular case, will be enhanced by qualification processes of the products creating common assets for the actors involved. These elements could provide a rationale as regards the categorization of clusters according to their efficiency. Actually, although they won't be able to achieve competitive efficiency in every case, some might, and it remains useful to set up a research programme on their trajectories of development.
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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 | 0.000 |
| 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 it