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Record W2344054089

Agricultural Cooperative Movement Under the Regulation of the Mainstream Ideology in China

2016· article· en· W2344054089 on OpenAlexvenueno aff
Gaifeng Zhang

Bibliographic record

VenueHigher education of social science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyMainstreamChinaAgricultureAgricultural productivityPower (physics)State (computer science)CommunismProductive forcesEconomic systemControl (management)Intervention (counseling)ProductivityPolitical sciencePolitical economySociologyEconomicsEconomic growthLawManagementPolitics
DOInot available

Abstract

fetched live from OpenAlex

With the successful seizure of power by the Communist Party of China, Marxism has become a new China’s mainstream ideology, Agricultural Cooperative Movement was a relationship of agricultural production, which started in 1953 under the guidance of strict ideological thought. In practice agricultural co-operation, there has been a lot of problems and contradictions, which proved a tortuous ideological control under agricultural development, but also that the ideology of the concrete practice of excessive labor intervention is not conducive to the development of labor productivity and motivation increase. From the perspective of historical development, the reform and opening up, the party and state leaders re-examine the relationship between ideology and agricultural development, and form the household contract responsibility system, and new agricultural management system, and the new science of agriculture policy. Recalling the agricultural cooperative movement to clear agricultural development we must turn to the “trial and error” real logic has an important inspiration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.278
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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
Published2016
Admission routes1
Has abstractyes

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