MétaCan
Menu
Back to cohort
Record W3195899284 · doi:10.30970/meu.2020.44.0.3392

USE OF POSITIVE EXPERIENCE OF DEVELOPED COUNTRIES IN REGULATION OF AGRICULTURAL PRODUCT MARKETS IN UKRAINE

2020· article· en· W3195899284 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFORMATION OF MARKET ECONOMY IN UKRAINE · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureProduct (mathematics)BusinessAgricultural economicsAgricultural scienceEconomicsEnvironmental scienceGeographyMathematics

Abstract

fetched live from OpenAlex

The scientific article provides a detailed description and analysis of the experience of developed countries in regulating agro-food markets. Much attention is paid to the experience of the European Union countries. The main directions of state support of food and agricultural production within the framework of the Common Agrarian Policy of the EU are determined, special attention is paid to the models of state support of rural development of the EU countries. Emphasis is placed on the three-component structure of rural development policy in the EU, namely: support for agricultural producers, environmental protection, support for comprehensive rural infrastructure development projects. The ability of EU countries to actively stimulate national agriculture, in which the cost of production per unit of output is usually higher than the world. Mechanisms of state regulation of the agro-food system in the USA, Canada and Japan are considered. The analysis of the policy of financing social food assistance to the population in the USA is carried out, the key strategic tasks are assigned to the Service for Food and Consumer Services, in particular, certain state programs of food assistance to the population in the USA are described. As a result of researches for Ukraine the practice of foreign experience of concrete countries of the world concerning the state support of development of agro-food markets and agricultural production is offered, namely: 1) purchase of surplus agricultural and food products from farmers at the expense of state budget funds to maintain purchase prices and guarantee the profitability of agricultural producers (USA experience); 2) the creation of a state institution to stimulate the export of state products, including food and agro-industrial (the experience of the USA, Japan, Germany, etc.); 3) introduction of a system of stimulating the export of Ukrainian food products through commodity lending under the guarantee of export credit agencies, which will allow importers to raise funds for a long time (the experience of the USA, Japan, Poland, Germany); 4) introduction of a system of “land outsourcing” – the purchase or lease by food-importing countries of agricultural land abroad (the experience of China, India, Saudi Arabia). Keywords: agrobusiness, agro-food products, experience of EU countries, common agricultural policy, support of agricultural producers, state food aid programs.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.430
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.204
Teacher spread0.185 · 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