A Study on Income-Distribution Regulatory Effect of Financial Support in Agriculture
Bibliographic record
Abstract
This thesis carries out a quantitative inspection about marginal scale effect and structural effect that both size and structure of expenditures for financial support in agriculture have on income gap between urban and rural residents. According to analyses, it is found that both absolute amount and relative amount of size of financial support in agriculture have widening effect on income gap between urban and rural residents; agricultural infrastructure, three items of agricultural science and rural relief have gap-reducing effect; support for agricultural production and operating expenses of departments do not have significant effect, which may have widening effect in combination with reality factors; and unreasonable structure is a key factor leading to the situation that regulatory effect of financial support in agriculture on unfair income distribution is minor. Thus, to improve income-distribution regulatory effect of financial support in agriculture, it is essential to increase scale of expenditures, form a long-term mechanism, enhance degree of capital integration, optimize expenditure structure and perfect mechanisms of governmental performance examination.
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How this classification was reachedexpand
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".