Bibliographic record
Abstract
In the early eighteenth century India was still a land of porous frontiers and tremendous opportunities, as it was when the Europeans first discovered it in the sixteenth century. Notwithstanding France's defeat in India after the fall of Pondicherry in 1793, which left the British East India Company free to consolidate and extend its influence in India, there still remained ‘border zones’ in India which offered the French and other Europeans chances to cross cultural frontiers, amass wealth and spend it. However, by the middle of the nineteenth century when the British had established control in India and the Indian Ocean, and the local rulers had been firmly subjugated to British colonial power, such spaces with permeable borders became rare and opportunities for individuals to engage in cultural crossings and financially successful enterprises with locals were greatly reduced. Through a reading of the representations of Pondicherry, Mauritius and Lucknow, this study reviews the presence of such border zones between the imagined spaces of France, Britain and India.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.042 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".