Implementations of milk quota system in the European Union and the adaptation of milk quota system to Turkey
Why this work is in the frame
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Bibliographic record
Abstract
When the countries with a developed dairy cattle breeding and milk production like Australia, Canada, Israel, Iceland, Norway, Switzerland, Japan and EU member states, are examined it is seen that most of them have implemented a milk quota system for a period of time. The aim of this research is to put forth how the milk sector in Turkey, a candidate country for EU, would be affected from the implementation or the abolition of the milk quota system in the EU when it becomes a member. In order to predict this, 2 different scenarios, where EU doesn’t abolish and does abolish the milk quota system and Turkey becomes a member in 2014, were made up in the scope of this study. After the comparison of the results on production and consumption estimated in the scenarios, it is seen that Turkey will be facing a considerable amount of deficit in milk and red meat in the following years if the quotas are decided to be continued. However, it is estimated that this deficit could be reduced or even a surplus of milk production could be possible if the milk quota system will be abolished. The results obtained from the scenarios show that increasing just the milk yield will not be sufficient to meet the demand of the increasing population. Therefore, it is obvious that the animal population shall also be increased. In addition, sheep, goat and buffalo breeding should be considered as important as cattle breeding
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it