An Analysis of the "Bio" / "Eco" Products Market, Referring to the EU and Romania
Bibliographic record
Abstract
The EU and Canada represent the largest market in the world for the sale of ecological products attracting exports from many third countries and recording a total sale of 95% of the worldwide total market. The European market for ecological products – also known as “bio” / “eco” – in absolute figures – is somewhere around 20 billiards euro/year, and in the case of Romania, the market for those products varies around 200 million euro/year. According to European legislation, there are harmonized provisions and procedures for the import of ecological products which can be implemented in two ways: either by complying with the EU legislation on ecologic products, or based on the equivalence between the existent standards and control systems. In many European countries, the operators on such a market obey the rules established by Legislation for ecologic productions strictly. In Romania, a sanctioning system against those economic operators who fraudulently use product labels suggesting they are organic products has just recently been considered. Taking into consideration all these aspects, the present paper relies on the most recent bibliographic and statistical references in this field.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".