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Record W3148271128

Import dependency and import security of rapeseed and rapeseed oil in China

2014· article· en· W3148271128 on OpenAlexaboutno aff
Zhu Zai-qing, Yuan Sheng-hong, Taotao Tu

Bibliographic record

VenueZhongguo Nongye Daxue xuebao · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Algorithms and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRapeseedChinaValue (mathematics)BusinessAgricultural economicsEconomicsAgronomyBiologyMathematicsStatisticsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

In order to identify the source reliability and lower the risks of China’s importing rapeseed and rapeseed oil,the relationship between China and the source countries of China’s rapeseed and rapeseed oil import market was studied.Based on analysis of China’s rapeseed and rapeseed oil import market structure,the study focused on the following aspects:identifying the proportion of the value share of China’s rapeseed and rapeseed oil imported from each source country to the total import value from all the world(I1),the proportion of the value share of rapeseed and rapeseed oil exported from each source country to China to the total export value to the world(I2),and the total trade balance(Index B)between China and each country was also taken into account.The dependency coefficients(I3、I5)of China’s import and import safety were estimated in this paper.Research results indicated that China’s import of rapeseed and rapeseed oil mainly depended on Canada,but the dependency coefficient went down gradually by showing that the rapeseed indexes I3and I5dropped from 12.781 8and 4.322 4in 2005to 2.662 5and 1.032 7in2012respectively,and the rapeseed oil indexes I3and I5dropped from 5.079 8and 0.906 2to 2.232 7and 0.856 1respectively.Research results indicated that Canada is the safe source of China’s rapeseed and rapeseed oil import and it is economic rationality to import more rapeseed rather than rapeseed oil.Some countermeasures and advice have been given by the authors in the end.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.002
GPT teacher head0.186
Teacher spread0.184 · 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
Published2014
Admission routes1
Has abstractyes

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