Bibliographic record
Abstract
Presented by International Development Research Centre and co-hosted by UBC and the Canada-India Foundation, there has been much talk of a coming Asian century, to be dominated by the economic strength and political assertion of China and India. This talk will critically scrutinize the claims made on behalf of India, and in particular the belief, held by some Westerners and perhaps by many Indians, that India is a coming superpower. It will acknowledge the durability, against the odds, of India's national unity and of its democracy. It will appreciate the recent surge in economic growth. At the same time, it will provide a critical analysis of the deep fault-lines within Indian society, politics, economics, and culture, to conclude that the talk of India's imminent rise to superstardom is highly premature. Ramachandra Guha is a historian and biographer based in Bangalore. Now a full-time writer, he has previously taught at the universities of Yale and Stanford, held the Arné Naess Chair at the University of Oslo, and been the Indo-American Community Visiting Professor at the University of California at Berkeley. Webcast sponsored by the Irving K. Barber Learning Centre.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".