Characteristic analysis of farmer household'social capital in Zhangye City
Bibliographic record
Abstract
The study of the social capital and its relationships with the development is a topical subject.As one of the important factors affecting the sustainable development,social capital plays a very important role in the social and economic development in a country or region.This paper takes Zhangye City,Gansu Province,China as the research area,in which it is famous forThe Silk Road,and designs the measurement index of social capital.It uses the farmer households survey datas and principal component analysis method to calculate social capital index and then analyzes the social capital factors.Finally,the paper also analyzes the factors that are influencing the social capital.The results show as follows:(1)Social capital index in Zhangye City is 4.93.The trust and solidarity dimension maintain the highest development level,while the information dissemination dimension maintains the minimum development level.(2)There are hosts of differences in the influencing factors of different dimensions of the social capital.The factors influencing the trust dimension basically are the householders' educational level and the wealth differences.The factors influencing the political empowerment dimensions are the householders' educational level and the age of the head of the household.The factors influencing the network dimension are the householders' educational level、the average annual income and the age of the head of the household.The influencing factors of the cooperation dimensions are the householders' educational level、the average annual income and the age of the head of the household and the wealth differences.The influencing factors of the social cohesion dimension are the householders' educational level、the age of the head of the household and the wealth differences.However,the influencing factors of the information dissemination dimension are the householders' educational level、the average annual income and the wealth differences among the householders.(3)The stock of social capital can be improved increasingly.It is significant to strengthen the investment and construction of the trust dimension、develop the folk organizations to improve the ability of obtaining the information by the telephone、the internet、the TV and so on and continue to make the officials and the villagers committee serve the people heart and soul.Meanwhile,local government should increase the opportunity of employment with local conditions、strengthen infrastructure construction to improve the telephone and the internet coverage and held science and technology culture month activities to improve their education level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".