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COMPARATIVE ASSESSMENT OF DOMESTIC AND FOREIGN EXPERIENCE OF STATE REGULATION OF AGRICULTURAL COMPLEX

2024· article· ru· W4399349884 on OpenAlex
Д. Махметова, Э.Б. Тлесова, П. Хайек, А.Т. Кабиева, Pierre Hayek, A. Kabiyeva

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

VenueВестник Казахского университета экономики финансов и международной торговли · 2024
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAgricultural Development and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureState (computer science)BusinessGeographyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

В статье освещены вопросы развития агропромышленного комплекса (АПК) мировых стран-аграриев и Республики Казахстан. Авторами изучены основные направления и приоритеты государственной поддержки аграрного сектора в зарубежных странах. Раскрываются особенности системы государственного регулирования отраслей АПК в таких странах, как США, Канада, Дания. Исследуются ключевые факторы успешного развития сельскохозяйственной сферы ведущих мировых стран-аграриев. Наряду с анализом программ государственной поддержки отраслей АПК, которые действуют в этих странах, исследуются различные механизмы, при помощи которых государство может влиять на деятельность сельхозфермеров. Результаты исследования показывают, что помимо общих мер поддержки сельского хозяйства, есть ряд аспектов аграрной политики, которые могут быть изменены и адаптированы в соответствии с долгосрочными стратегическими целями. Сделаны выводы о важности государственного регулирования аграрного сектора страны для обеспечения продовольственной безопасности, создания благоприятной ситуации для экспорта сельхопродукции на внешние рынки, инновационного развития отрасли на основе подготовки высококвалифицированных специалистов, повышения финансовой устойчивости сельхозтоваропроизводителей. Изучение системы государственной поддержки АПК в зарубежных странах показало, что существующие меры разнообразны, среди которых актуальны субсидирование и вложение инвестиций в аграрную сферу. The article highlights the issues of the development of the agro-industrial complex of the world's agrarian countries and in the Republic of Kazakhstan. The authors have studied the main directions and priorities of state support for the agricultural sector in foreign countries. The features of the system of state regulation of agricultural industries in countries such as the USA, Canada, Denmark are revealed. The key factors of the successful development of the agricultural sector of the world's leading agricultural countries are investigated. Along with the analysis of state support programs for agricultural industries that operate in these countries, various mechanisms by which the state can influence the activities of agricultural farmers are being investigated. The results of the study show that in addition to general measures to support agriculture, there are a number of aspects of agricultural policy that can be changed and adapted in accordance with long-term strategic goals. Conclusions are drawn about the importance of state regulation of the agricultural sector of the country for ensuring food security, creating a favorable situation for the export of agricultural products to foreign markets, innovative development of the industry based on the training of highly qualified specialists, increasing the financial stability of agricultural producers. The study of the system of state support for agriculture in foreign countries has shown that the existing measures are diverse, among which subsidies and investments in the agricultural sector are relevant.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.320
Teacher spread0.267 · 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