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Record W2188775694

Research on the Development of Family Farms in Chongqing

2015· article· en· W2188775694 on OpenAlexvenueno aff
Long Ling, Shiyong Yu, Tu Hong, Yan Tang

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)BusinessCountermeasureService (business)Quality (philosophy)Circulation (fluid dynamics)Distribution (mathematics)Scale (ratio)AgricultureEconomic growthMarketingEconomicsGeographyPolitical scienceEngineeringMathematicsCartographyLaw
DOInot available

Abstract

fetched live from OpenAlex

Using the general train of thought of the type study, firstly has analyzed the current situation and problems of the development of family farm in Chongqing, and secondly explored the deep reasons for the problems, finally puts forward the corresponding countermeasures. The results indicates that: In recent years, the family farm in Chongqing develop rapidly, and has obtained certain achievements, but there are still some problems, such as the scale of family farm is small, low degree of organization, weak investment capacity, narrow financing channels, management level is not high, lack of talent, industry distribution area is not outstanding, policy benefit is not wide enough and other issues; the causes of these problems have the restriction of the natural environment, the restriction of land circulation, the restriction of the agricultural socialized service system and the restriction of family farmers’ comprehensive quality. Thus, according to the above restriction conditions, this paper puts forward the corresponding countermeasures and suggestions.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.271
GPT teacher head0.357
Teacher spread0.086 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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