Bibliographic record
Abstract
The world's two most populous countries each made international headlines in 2008, thanks to the Sichuan earthquake and Beijing Olympics, the Mumbai terror attacks, and reports of how the global financial crisis affected the Chinese and Indian economies. However, China and India were also seen in 2008 as making up, together, one of the ongoing development stories of the twenty-first century—and there are good reasons to think this trend will continue throughout 2009. Thanks to years of strikingly high growth rates for India and even higher ones for China, comparisons of the two countries have proliferated. This has resulted in a slew of books and articles, often aimed at investors, that worry over or enthuse about the way the “dragon” and the “elephant” have been upending or bringing new energy into the global economic order. Scholars immersed in the study of Asia often find these publications lacking in depth, but there is no question that economic shifts in the two countries and surging interest in their current trajectories are important. With this in mind, we decided this would be a useful time to revisit a familiar governance issue that has long been associated with joint discussions of China and India: the relationship between democracy and development. We invited economist Pranab Bardhan, author of a forthcoming book on the political economy of India and China titled Awakening Giants, Feet of Clay, to reflect on the subject, concentrating in particular on issues of governance—a topic he has explored in plenary and keynote addresses given everywhere from Montreal to Manchester, Beijing to Bogota, Canberra to Calcutta.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".