Transformation of Traditional Silvo-Pastoral Home-Gardens: A Case Study in Southern Sri Lanka
Bibliographic record
Abstract
The Pasture Development Program on silvo-pastoral system in traditional home-gardens in Matara district was commenced with the aim of increasing milk production and income of the small-scale cattle farmers. The objectives of the study were to analyze ecosystem changes, economic trade-offs and social breakthroughs taken place in home-gardens after the program, with the aim of expanding the program coverage. The study was conducted through a field survey interviewing 34 farmers randomly selected from the participants. Tthe farmers have changed the composition of eco-systems in their home-gardens, replaced traditional grasses with CO3 fodder, and removed number of trees disturbing fodder cultivation. They have significantly lost some traditionally cultivated crops and trees due to competition with fodder during dry seasons. The farmers have significantly increased the milk yield per cow, market surplus and income, increased the amount of fodder sufficient to feed their cattle and little market surplus, and gradually adapted to cow-done as organic fertilizer. The social breakthroughs are identified as: reduced risk of conflicts with neighbors and theft of cattle, controlled damages caused by cattle to agricultural crops, reduced time spent on feeding cattle during dry seasons, increased domestic milk consumption, and increased the number of milk collecting centers induced by increased milk production. Although the Pasture Development Program have transformed the traditional home-gardens to improved silvo-pastoral system, community governance yet to be developed in order attract externalities particularly land use planning, technology development and policy support.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".