The Organic Farming Movement in Turkey
Bibliographic record
Abstract
In the past decade, organic production has become a growing segment of the healthy food market. Organic farming is expanding gradually in many countries, and consumption of organic products is gaining a huge importance in the developed countries, such as the U.S., countries in the European Union (EU), Canada, and Japan. The increase of domestic market demand in developed countries and export potential for developing countries has stimulated organic agricultural production. In this report, we briefly examine the development of the world organic market and examine regulations with regard to production and certification. We also provide a detailed review of the current structure of organic food production and marketing in Turkey, a developing country with advantages to increase organic production. The overall picture of organic products in Turkey seems very positive. The size of the domestic market for organic products is estimated to be $3 to $5 million, with annual growth projected to be about 50% for the next 5 years. Eighty percent of current production in Turkey is export-oriented. The EU has been the main export destination. The positive market outlook will no doubt create a renewed interest in organic products among Turkish farmers and policy makers.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".