Bibliographic record
Abstract
SANKARAN KRISHNA coined the term "cartographic anxiety" to describe a persistent neurosis that seemed to mark Indian practices of state and nation building.'To anyone who had occasion to open an atlas in India in the first half-century of its postcolonial existence, this neurosis would have been evident in the rubber stamp that Customs Department officials doggedly impressed upon the pages of any foreign publication that dared to represent the effective boundaries between India and its neighbours, Pakistan and China, rather than those the Indian state claimed for itself.The stamp read, "The external boundaries of India as depicted are neither accurate nor authentic."For Krishna, the term "cartography" encompasses all those representational practices that, in various ways, have attempted to inscribe something called 'India' and to endow that entity with content, history, meaning, and purpose, taking within its ambit not
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.019 | 0.083 |
| Scholarly communication | 0.022 | 0.032 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.007 | 0.015 |
| Insufficient payload (model declined to judge) | 0.011 | 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".