Editors’ introduction to The China Water Papers – transboundary water cooperation in Asia with a focus on China (III)
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
Click to increase image sizeClick to decrease image size AcknowledgementsThanks to the Xiamen University School of Law and the China International Water Law (CIWL) research team for their considerable efforts in hosting the 1st International Water Law Symposium in China at Xiamen Law School. Thanks are especially due to Dean Chongli Xu, Vice-Dean Yansheng Zhu, the Director of International Economic Law Professor Huaqun Zeng, and all our colleagues at Xiamen Law School for their strong support of the CIWL, its ongoing research and activities. We would like to express our gratitude to the numerous participants who came from near and far to attend the inaugural event. Special thanks to Dr Owen McIntyre, visiting scholar at Xiamen Law School (summer 2014), for all his support for the CIWL research work. Sincere thanks to Dr Sergei Vinogradov (University of Dundee, UK) for his many substantive contributions and editing assistance. Well done and thanks to our Xiamen CIWL researchers, especially the new international PhD candidates at Xiamen Law School: David Devlaeminck (Canada), Nabaat Mahbub (Bangladesh), Flavia Loures (Brazil) and LLM candidate Yang Liu (China), who assisted the Guest Editors in a number of important ways. And last, but not least, a big thank you to Liping Dai, PhD candidate at Utrecht Law School and visiting scholar at CIWL, Xiamen, who collected, chased and processed all these manuscripts in ways that greatly assisted us all.
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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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