Bibliographic record
Abstract
So far, Christianity in Mizoram has been understood as having a specific birthdate: 11 January 1894, the day two Christian missionaries from London carried the world religion - along with technologies of writing, education, and print media - into the foothills. Despite the centrality of forest animals and spirits to everyday life in the past, the roles of forest-dwellers in this story have drawn little more than a cursory glance in historical writings. This chapter paints a different picture. The story of the Christianization can be seen afresh by paying attention to both continuity and change in older human relationships with the forest as well as by taking seriously both vernacular sources and the environmental knowledge of uplanders. Ecological transformations and catastrophic collapses in animal populations attended the arrival of the colonial state in the late nineteenth century, alongside the mass ‘vermin’ eradication schemes of the early 1900s. The changes wrought during this period altered the most historically significant of human relationships in the Lushai Hills - those with other animals, plants, and non-human beings. In this complicated ecosystem, these shifts both shaped and mirrored changes in upland society towards modern institutions: a cash economy, state rule, missionary and state medicine, and, most importantly, the near total conversion of the human population to Christianity from the early to mid-twentieth century. It was through the actions and reactions of specific forest species, and through changing human relations with them, that Christian missionaries first become relevant to upland people.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.072 | 0.017 |
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".