Certified Organic Farming: Awareness of Export Oriented Small-Scale Farmers in Sri Lanka
Bibliographic record
Abstract
This study aimed at investigating Sri Lankan small-scale Certified organic (CO) farmers’ awareness on their adopted organic standards, the third-party certification body, internal control system, Fairtrade certification, and conditions of contracts with coordinating organizations. A cross sectional survey was conducted among a randomly selected sample of 202 CO farmers who were linked with five coordinating organizations. Primary data was collected using a structured questionnaire along with key informant discussions and field observations. Data were analyzed using descriptive statistics to generate simple summaries and tendencies. According to the results, CO farmers are organized as farmer organizations that were initiated as out-grower groups of coordinating organizations. All CO farmers were unaware of the adopted organic standard. The majority were unaware of the third-party certification body (83%), and the internal control system (81.7%). This perhaps due to their exclusion in managing certification related aspects. Thus, showed submissive decision-making behavior. However, many of them were aware of Fairtrade certification (56.4%) as it provides a wide spectrum of additional benefits covering production, marketing, and farmers’ welfare. Farmers were also aware of their contracts (verbal or written) with coordinating firms (62.2%) but hardly conscious of their conditions. In some contracts, conditions were unfairly distributed among stakeholders. Therefore, the study recommends enhancing small-scale farmers knowledge not only the production aspects but also certification, quality assurance, administration, and marketing as well. Meanwhile, mediating the partnership among stakeholders by a government body is also recommended to avoid power abuses among stakeholders.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".