• GLOBAL ECONOMIC GOVERNANCE PROGRAMME • Arunabha Ghosh Arunabha Ghosh is Oxford-Princeton Global Leaders Fellow at the Woodrow Wilson
Bibliographic record
Abstract
governance, arrangements for technology transfer, market-based measures to increase collaboration between developed and developing countries, linkages between the trade and climate regimes, global energy governance, and evolving institutions in developing countries for the coordination of energy and climate policies. Arunabha was previously Policy Specialist at the United Nations Development Programme in New York and coauthor of three Human Development Reports, and has worked at the World Trade Organization in Geneva. He has led research on transboundary water basins, intellectual property and the rights of indigenous people, violent conflict and extremist movements, and has undertaken/advised research projects on aid, financial crises and trade negotiations for DFID (UK), IDRC (Canada), and the Commonwealth Secretariat. His advocacy efforts for human development span a documentary on the water crisis set out of Africa, presentations to heads of state and several legislatures, public lectures and regular articles in the print media. He is on the Editorial Board of the Journal of Human
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.
How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.017 |
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; both teacher heads agree on what is shown here.
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".