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Record W7132622668

MARKETING RESEARCH OF THE ORGANIC PRODUCTS MARKET IN BULGARIA

2011· other· W7132622668 on OpenAlexaboutno aff
Пенка Горанова, Стефан Стефанов, Живка Тананеева, Penka Goranova, Stefan Y. Stefanov, Zhivka Tananeeva

Bibliographic record

VenueBulgarian Portal for Open Science · 2011
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsOrganic productProduction (economics)Organic productionOrganic farmingFood productsAgricultureProduct (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Органичните продукти се произвеждат в съответствие с определени стандарти за производство. През по-голямата част от човешката история, селското стопанство може да бъде окачествено като органично. След 20 век бяха произведени и предлагани нови и често неизпитани синтетични химикали, изтъквани като подобрения, въведени във всички хранителни продукти. Този по-нов стил на производство е наричан “конвенционален” и за разлика от органичното производство, продуктите се произвеждат много по-бързо и лесно. При органичното производство, използването на конвенционални небиологични пестициди, инсектициди и хербициди е абсолютно забранено. В момента Европейският съюз, Съединените щати, Канада, Япония и много други страни изискват от производителите да получат специален сертификат, за да се разреши продажбата на хранителните продукти като “органични” в рамките на техните граници. Понастоящем 90% от органичната храна, произведена в България, се изнася за по-богатите европейски държави. Българските органични храни са основно плодове (ябълки, праскови, череши, ягоди, малини, сливи, грозде за производство на вино), ядки (орехи и бадеми), билки и подправки (копър, анасон, лавандула и много други), както и органични растителни масла, тютюн, зеленчуци. На пазара има агнешко и телешко органично месо, както и органичен конфитюр и мед. В добавка големи участъци диви земи се сертифицират като органични и в тях се събират диви плодове, билки, гъби. Счита се, че приблизително 60 % от суровите продукти идват от събиране в дивата природа. Органично розово масло, тютюн, вино, плодове са с огромен потенциал за страната, считат германските специалисти. Тази година министерството ще подкрепи органичното фермерство и производство на храни с €12,6 млн. Целта е да се засили местния пазар и да се завземе нов дял на европейския пазар. The organic products are produced in accordance with certain standards of production. Through the most part of human history, agriculture could be qualified as organic. After 20-th century new and often not tested synthetic chemicals were offered, emphasized as improvements, introduced to all food products. This newer style of production is called “conventional” and in contrast to organic production the products are produced faster and easier. Within organic production the usage of conventional nonorganic pesticides, insecticides and herbicides is absolutely forbidden. At the moment European Union, United States, Canada, Japan and many other countries require from the producers to obtain special certificate in order to permit selling of food products as “organic” within their borders. At present 90 % of organic food produced in Bulgaria is exported to richer European countries. Bulgarian organic foods are mainly fruits (apples, peaches, cherries, strawberries, raspberries, plums, grapes for wine production), nuts (walnuts and almond), herbs and species (dill, anise, lavender and many others), as organic plant oil, tobacco, vegetables. There are lamb and beef organic meat on the market as organic jam and honey. As an addition large areas of wild lands are under certifying as organic and wild fruits, herbs, mushrooms are collected. It is considered that 60 % of raw products come from their collecting from wild nature. Organic rose oil, tobacco, wine, fruits are a huge potential for the country according to German specialists. This year the Ministry will support the organic farming and food production with €12,6 millions. The purpose is to strengthen domestic market and to occupy new share on European market.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.103
GPT teacher head0.375
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Published2011
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