A Basic Hierarchical Graph Model for Conflict Resolution with Application to Water Diversion Conflicts in China
Why this work is in the frame
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Bibliographic record
Abstract
A basic hierarchical graph model with three decision makers is developed and used to analyze a water diversion conflict in China. This hierarchical graph model combines two component graph models. The theoretical framework of the combined model is constructed using the decision makers, states, moves, and preference structures from the component models. Theorems are developed to relate stable states in the hierarchical model to stable states in local graph models. This novel approach can avoid direct calculation for four hierarchical stabilities. This methodology is applied to a water diversion conflict in China, consisting of conflicts at two locations where it is proposed to divert water from the south to the north of the country. The analytical results show how decision makers can obtain strategic resolutions for the entire conflict.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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