Travels in Diplomacy: V.S. Srinivasa Sastri and G.S. Bajpai in 1921–1922
Bibliographic record
Abstract
In April 1921, V.S. Srinivasa Sastri was appointed as India’s representative to the Imperial Conference in London. His secretary was a young Indian Civil Service officer, G.S. Bajpai. Over the course of the next two years, the two Indians travelled together as India’s diplomatic representatives to London, Geneva, Washington, Australia, New Zealand and Canada. The young Bajpai and his ‘chief’ developed a loving bond that was to remain strong for the rest of their lives. These travels, as I will show, were very crucial to the making of India’s pre-eminent diplomat in the interwar years, Sastri, and the country’s foremost foreign policy bureaucrat at independence, Bajpai. But the afterlives of these journeys were also to manifest beyond their personal/political lives. These two years were formative to the making of Indian diplomacy in general and to India’s response on the questions of race and the commonwealth in particular. This essay will follow Sastri and Bajpai as they travel together as ‘diplomats’ and map the ways in which they came to ‘learn’ the conduct, expectations and execution of diplomacy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".