Competitive insertion of the citrus-lemon chain in global value chains in Colombia
Bibliographic record
Abstract
This research delves into the identification of opportunities for the consolidation of the lemon value chain in the department of Tolima, Colombia, through the associativity model called: Special Administrative Planning Region. This model is a land-use planning system, officially recognized in Article 325 of the Political Constitution of Colombia and in Law 114 of 2011, which functions as a planning tool at the regional level. Its main objective is to integrate a given region with other territorial entities at the departmental level. The study is framed within exploratory research that employs qualitative and quantitative methodologies for its development, in addition to using data collection instruments, in order to identify the main elements that define the possibilities of establishing a profitable and sustainable value chain in the citrus-lime sector in Tolima. The results show that the potential for competitive insertion of lemon in global value chains reaches potential international markets such as Russia, Germany, France, Poland, Canada and Saudi Arabia, and the support of different government institutions. However, it is necessary to overcome major threats and weaknesses that currently hinder this insertion.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".