Audit of the effectiveness of the organic farming development in European countries
Bibliographic record
Abstract
The article presents the results of the audit of the development of organic production in the EU countries using the example of Poland. It is noted that today Poland is significantly behind the average level in the European Union, where the share of organic land is 8.1%. It has been proven that in order to reach the level of other EU countries by the end of 2030, the average annual rate of growth of organic and transitional lands should be at least +11.2%, and the share of transitional lands in them should be 25.1%. It is noted that the strategic goal of the EU by 2030 is to convert a quarter of all agricultural land into organic. In this case, the average annual rate of growth of the corresponding areas in Poland should be +22.8%, and the share of transitional lands in them should be at least 40.6%. It is calculated that, given the relatively low level of productivity, Poland can achieve this level only through state support and the creation of additional financial incentives
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| 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".