Empirical Study of Relationship between Rural Finance Development and Peasant Income of Sichuan Province
Why this work is in the frame
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Bibliographic record
Abstract
Using to the relative data from 1989-2010 in Sichuan province, with ADF unit root test, cointegration test, error correction model and Granger causality test, we make an empirical study on the relationship of scale of rural finance development, structure of rural finance development, rural finance development efficiency and peasant income growth. The empirical results show that: there is positive correlation among peasant income and scale, structure of rural finance development, on the other hand, there is negative correlation between peasant income and rural finance development efficiency. The result of Granger causality test shows that there is no cause-and-effect among peasant income and the scale, structure, and efficiency of rural finance development.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it