PRODUCTION OF POULTRY MEAT AND EGGS IN THE REPUBLIC OF CROATIA AND IN THE EUROPEAN UNION
Bibliographic record
Abstract
Poultry meat and eggs are a significant source of nutrients in the human diet. Poultry products are widely consumed because they are nutritionally valuable, there are no religious restrictions on consumption, it is relatively easy to prepare diverse meals based on poultry, and the price of such products is relatively low. The aim of this research was to investigate the development of poultry production in the Republic of Croatia in the period 2010-2014, comprising the period of two years after Croatia joined the EU. The paper also compares data of poultry production in Croatia and in the EU. Over the period in question, total meat production in Croatia was reduced by 23%, meat import was increased by 45%, poultry meat export was increased by 46%, and production of eggs decreased by 20%. At the same time, in the EU countries poultry production was increased by 8.8% on average, export was increased by 10%, and import was reduced by 3.7%, while the egg production stagnated. In 2014, consumption of poultry meat in Croatia was 18.3 kg per capita, and in the EU 26.8 kg per capita. Self-sufficiency in the poultry production over the analyzed period was not satisfactory, therefore in the coming years, Croatia will have to develop quickly this important branch of livestock breeding. In addition to conventional production, faster development refers to production of organic and functional poultry products. Keywords: Poultry meat production, egg production, consumption, Croatia, EU
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".