The influence mechanism of social capital on farmer's income:A case of Zhangye City,Gansu
Bibliographic record
Abstract
Rural issues concerning agriculture,countryside and are vital problems related to the entire national economy and social development.The farmers' income is the core of it.In order to further explain the impact mechanism of social capital on the farmers' income,we established income path model by which the relationship between social capital and farmer' income was showed.Then AMOS software was used to calculate the path coefficient for each path.In the end,advices are given to improve farmers' income.The result shows that:(1) The total effect of social capital affecting farmers income is 0.683,which directly effect is 0.596,much higher than the indirect effect 0.087.(2) The abilities to obtain the information and the new technologies,to resist risks,to get credit and to participate in politics could increase the incomes of the farmers,but social capita indirectly effected the farmers' income,and the effects ere 0.025,0.013,0.029,0.007 and 0.012.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".