Study on Status of Rural Poverty Relief Development in Western China and Countermeasures in New Period: Taking Yibin, in Sichuan Province as an Example
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rural poverty relief development work has gained significant effects in the new period, but for China as a developing country, rural poverty relief is still the first step of a long march. There is still a long way for poverty relief work. Meanwhile, poverty relief work also has some problems, such as natural restriction, institutional barriers, mechanism shortage and insufficient justice. These problems hinder development of poverty relief work. Thus, in the new period, rural poverty relief work must have new ideas, new thoughts, new measures and mew approaches. To enhance government dominance, to integrate diversified resources, expand the work thoughts and increase capital input are effective measures to develop rural poverty relief in the new period.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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