“Live Tilapia”: Diversifying Livelihoods for Rural Communities in México
Bibliographic record
Abstract
This study documents the socioeconomic impact of an innovation based on the marketing of live aquaculture products in rural communities as the Live Tilapia Points of Sales (LTPOS). A case study research conducted where the participatory strategy of “Simultaneous Production Growth Groups” (SPGG) was applied for technology innovation, which includes technology modules, organizational strategy and operational management. The results were evaluated socially and economically. In 14 months, 3531.50 kg of live tilapia were distributed in four local places for sale and self-consumption. The system obtained a BCR of 1.23 and offered as well to the rural population an alternative of fish consumption in better freshness conditions than the regular fish supply. It brings up an extra income to the main market chain participants and development of aquaculture capabilities. Therefore, the LTPOS is a viable option for diversifying livelihoods and improving regional rural population income.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".