Bibliographic record
Abstract
The borderlands of India’s northeast are often seen as historically isolated, remote and inaccessible. In recent years, there has been a growing awareness that such areas were much more open than hitherto assumed. This article tracks dynamic historical change in the Lushai Hills District, or what is today the state of Mizoram. Taking the upland colonial headquarters of Aijal as its vantage point, the article looks closely at the coerced construction of a network of thoroughfares that underwrote new commercial, ecological and missionary presences in the region, and that allowed both the development and dodging of new regimes of state control and surveillance. A borderland- rather than state-centred approach reveals vibrant trans-regional trails of money and information, trade and technology, migrants and labourers, plants and animals. While colonial agents in the early twentieth century sought to congeal longstanding flows of guns and people, restrictive measures were often met with subterfuge and evasion, producing new opportunities and corridors for movement. Understanding Aijal’s position as an entrepôtof pluricultural exchange and as an intensifier of regional circulation draws attention to ranges of human experience that stretch beyond the usual state-focussed boundaries of historical inquiry. This article seeks to contribute to a growing literature that challenges the idea of northeast India’s remoteness.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".