Political Constraints on Adaptive Governance
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
Rapid urbanization and industrialization have placed significant pressure on ecological systems in China. This study investigates a network of local environmental organizations working to combat pollution in Nanjing’s Qinhuai River. Research in adaptive governance has pointed to the importance of such nonstate actors in contributing to responsive management of ecosystems. However, these actors are embedded in larger political contexts that constrain their ability to exchange information and contribute to improved ecosystem governance. A network approach is used to provide empirical detail of relationships among nongovernmental organizations (NGOs) and government while applying theory from Chinese politics to explain barriers and opportunities to adaptive governance. The results reveal the dominant corporatist relationship between the state and a single designated NGO, while also uncovering a separate group of information producing NGOs. Studies in adaptive governance can apply similar approaches to create a deeper interdisciplinary understanding of underlying political structures influencing information sharing and collaboration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 0.002 |
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