MétaCan
Menu
Back to cohort
Record W7113527869

СУЧАСНИЙ СТАН ФІНАНСУВАННЯ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ В УКРАЇНІ: ЕКОНОМІКО-ПРАВОВИЙ АНАЛІЗ

2019· article· en· W7113527869 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

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarian societyPosition (finance)PaymentAgricultureState (computer science)Agricultural machineryControl (management)Agricultural productivity
DOInot available

Abstract

fetched live from OpenAlex

Modern agriculture is developed in the direction of increasing the efficiency of agricultural production. This requires a stable combination of financial and economic, legal and organizational factors with the mandatory introduction of the innovative component.Scientific research is based on the current information and scientific base which contains a methodology for assessing the effectiveness of raising funds, the use of which allows systematizing a number of phenomena in the process of agricultural development, unifying the procedure for determining the nominal volumes and effectiveness of welfare payment using direct methods.The paper deals with some problematic legal issues of legal regulation of financial relations with the participation of agricultural enterprises; it is determined and justified the necessity of allocation of agricultural enterprises financial support, providing the administrative assistance and control over the target use of the given funds. The main articles of agricultural enterprises support in Ukraine were identified and the main generators of these enterprises financing were determined from the position of financial and credit institutions.The conceptual models of state support for the development of rural areas in Canada, Australia, Italy and the United States of America are analyzed. The main reasons for the unsatisfactory state of agricultural enterprises development, in particular, economic, social, infrastructural, administrative, problems that restrain the development of the agrarian sector as a whole are outlined. The necessary conditions for the development of agricultural enterprises in Ukraine are determined. On the basis of the analysis of world experience of rural development policy, a list of directions of agrarian sector enterprises support necessary for activation of rural areas development in Ukraine has been formed.The actuality and necessity of activation and harmonization using qualitatively new methodological dimensions of agricultural enterprises financing of various forms of ownership outlined the purpose of scientific search, its contour, tasks and architectonics.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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