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The Development Process, International Experience and Breakthrough Direction of Agricultural Supply side Structural Reform

2020· article· en· W3048484734 on OpenAlexaboutno aff
Peng peng Tian, Dan Zhao, Dong mei Li

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureAgricultural productivityBusinessSupply sideChinaProduction (economics)Government (linguistics)Good agricultural practiceStructural adjustmentSustainable developmentProcess (computing)Natural resource economicsIndustrial organizationEconomicsMarket economyCommerceFood security

Abstract

fetched live from OpenAlex

Abstract China’s agricultural supply side structure has experienced three major changes, but the effect is not obvious, so it is necessary to trace its roots and make a breakthrough. This paper explores the key points and difficulties in the three stages of China’s agricultural supply side reform, and finds that China’s agricultural supply side structural reform needs to break through three core points: removing the high inventory of main agricultural products, reducing farmers’ production costs, and making up for the safety and quality of agricultural products and the short board of ecological environment. Combined with the reform experience of the United States, Canada and India, this paper proposes to establish a diversified “government + market” policy regulation system, reduce agricultural production cost through multiple channels, improve agricultural production level, supplement the short board of modern agricultural production, realize sustainable green production, and seek an effective breakthrough in agricultural supply side structural reform.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.579

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.208
Teacher spread0.193 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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