中国统和主义地方政府与非政府组织关系 (The Local Corporatist State and NGO Relations in China)
Bibliographic record
Abstract
The English version of this paper can be found at http://ssrn.com/abstract=2211248 Chinese Abstract: 该论文利用统和主义的理论框架来研究中国政府对非政府组织（NGOs）发展的影响及两者的互动。文章指出，中国中央政府积极参与非政府组织的发展之余，地方政府与NGO之间的互动越来越成为决定非政府组织成功与否的关键因素。我们以上海的众多规模、预算、活动范围各不相同的非政府组织为案例，试图理解NGO与地方政府的相互联系。该论文进一步讨论了政府影响力不断从中央向地方转移这一趋势的原因及后果。 English Abstract: This article examines the Chinese state’s interactions and influences on the development of non-governmental organizations (NGOs) through a corporatist framework. It suggests that not only is the central state actively involved in the development of NGOs, but increasingly the successes of NGOs are determined by their interactions with the local state. We profile NGOs in Shanghai, of varying sizes, budgets, and issue-areas, as a case study to understand the interplay between NGOs and the local state. The article further discusses reasons behind the growing shift from central to local state influences, and the potential future implications for state-NGO relations in China.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".