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Record W3167280202 · doi:10.33920/vne-04-2105-05

About some trends in the development of agricultural cooperatives in Canada

2021· article· en· W3167280202 on OpenAlexaboutno aff
Svetlana Golovina, Ekaterina Abilova, Л. Смирнова

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsAgriculturePosition (finance)Representativeness heuristicNoveltyAgricultural developmentOrder (exchange)Identification (biology)BusinessSoftware deploymentRegional sciencePolitical scienceEconomic growthEconomicsComputer scienceGeographyPsychologyEcology

Abstract

fetched live from OpenAlex

The article presents the results of the analysis and generalization of the experience of the development of agricultural cooperatives in Canada (a country with a centuries-old history of agricultural cooperation), its successful cooperative practices at various historical stages (including the present). Within the framework of the presented study, a number of important scientific conclusions were obtained, including: 1) generalization of trends in the evolution of Canadian farms (as active participants in agricultural cooperation) and characteristics of their current state; 2) specification of technological and organizational innovations undertaken by Canadian agricultural cooperatives to strengthen their competitive position; 3) identification of promising trends in the development of agricultural cooperation in Canada, reflecting both the essential transformations of the phenomenon under consideration (agricultural cooperative), and fluctuations of its environment; 4) determining the importance of using foreign (Canadian) cooperative experience for the development of agricultural cooperation in Russia. The presented material is distinguished by the novelty of approaches, the adequacy of the research tools used, and the representativeness of the statistical data used. The factors of the effective functioning of Canadian agricultural cooperatives scientifi cally substantiated in the study, as well as the basic principles of their modern models, are advisable to use (as international experience) in the development of the domestic system of agricultural cooperation in a modern (global, mobile, unstable, unpredictable) environment, taking into account its new challenges. The conclusions obtained in the course of the work and the conclusions proposed by the authors are of both scientific interest (for further theoretical and empirical research) and practical significance (for specialists interested in the creation and successful functioning of domestic agricultural cooperatives).

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 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)0.000
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 score0.743
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.019
GPT teacher head0.205
Teacher spread0.186 · 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 teacher head, 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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Same topicCooperative Studies and EconomicsFrench-language works237,207