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Record W3109984692 · doi:10.32718/nvlvet-e9504

Foreign experience of agricultural insurance and prospects of its adaptation in Ukraine

2020· article· en· W3109984692 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

VenueScientific Messenger of LNU of Veterinary Medicine and Biotechnologies · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarian societyBusinessAgricultureInsurance lawIncome protection insuranceInsurance policyBusiness interruption insuranceGeneral insuranceEconomic policyEconomic growthAgricultural economicsEconomicsFinanceGeography

Abstract

fetched live from OpenAlex

In the articles of the considered process of agrarian insurance in foreign countries. The essence of the concept of “agricultural insurance” and “agricultural insurance risk" is revealed. The history of development of agricultural insurance in the international market of insurance services is studied. There are several well-known national agricultural insurance systems and their characteristics. The national systems and participants of agrarian insurance in the countries of the world, namely: the United States of America, Canada, Spain, Portugal, Italy, Austria, France, Germany, Latvia and Poland are singled out. It is proved that in most countries of the world the importance of insurance of risks of agricultural production as an irreplaceable financial and economic lever of development of agriculture and economy of the countries is described. The most important measures that are provided and mandatory for the participants of the above-mentioned foreign national agricultural insurance systems are highlighted. Models of agricultural insurance in different countries are characterized by certain features: the state is an active participant in the agricultural insurance system; insurance is overwhelmingly voluntary; state policy in the field of insurance is characterized by structure and transparency; the state subsidizes both agricultural producers and insurance companies; Appropriate state institutions and appropriate levers of financial influence are created for the development and implementation of state policy in the field of agricultural insurance. Based on the experience of foreign countries, three main operating systems of agricultural insurance protection have been identified: the system of catastrophic coverage, the system of state administration of agricultural insurance programs, the system of cooperation between the state and insurance companies. It is noted that there is also an inefficient system of “state insurance company”, which sells agricultural insurance services. The main normative acts regulating the insurance process in Ukraine are described. It was proposed to introduce a new program of state support for agricultural insurance, which would clearly define: the subjects of the market of insurance of agricultural products with state support, insurance contracts, insurance rules, the mechanism for providing state support to farmers; information support of state support of agricultural insurance.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.059
GPT teacher head0.258
Teacher spread0.199 · 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