A Study on Behaviors of Local Government With the Poverty Alleviation Program: Based on the Practice Review of Wulong County, Chongqing
Bibliographic record
Abstract
Mankind’s development process is characterized by a constant fight with poverty. Up till now, over 1.2 billion people are living under the poverty line and suffered from the threat of subsistence. Poverty is still one of the most severe challenges confronting the world, therefore, how to get rid of poverty has become an arduous task which requires common efforts throughout the world. Chinese government has always attached great importance to anti- poverty ,and during this process,we have achieved remarkable results which attracted worldwide attention and made great contributions to global poverty alleviation.Entering into a new historic stage,we are facing a series of challenges like a huge poor population, weak foundation for development, serious re-poverty, high degree of poverty and so on, therefore, it is inevitable to enhance poverty alleviation so as to realize the magnificent object of completely eliminating impoverishment. Local government, an actual organizer, executor, and a manager, play an important role in this battle. In other words, its behavior will decide whether poverty alleviation is successful or not. Therefore, a study on behaviors of local governments with the poverty alleviation program is of realistic significance. With behaviors of local government as entry point and Wulong County of Chongqing as research object, this thesis comprises the following four aspects: Firstly, to define several main core concepts; secondly, to dig out the motive of the poverty alleviation program; thirdly, to straighten out tendency and experience of the program; fourthly, to put forward strategies and methods in terms of the program.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".