Bibliographic record
Abstract
This chapter offers a different take on the standard teleological story of Christianization in the Lushai Hills by focusing on what the missionaries themselves deemed an utter failure: their first decade of mission work. It views the earliest foreign missionaries to the Lushai Hills as uplanders did: first, as ‘sap vakvai’ - strange and insignificant wanderers; and, later, as ‘zosap’ - usable and incorporable newcomers, asking not what foreign missionaries wanted from highland people, but what highland people wanted from missionaries. The weakness and vulnerabilities of foreign missionaries opened up space for a first generation of young people with sensibilities spanning the Lushai Hills District and the globe. Upland populations became interested in Christianity - a new yet combinable spiritual power - as well as the knowledge dispensed on the mission compound because they were completely and inherently involved in its interpretation and dissemination. Everyday technologies, the studies and movements of students, regional meetings of nascent Christian groups, and ‘celebrations’ of empire began synchronizing time and both connecting and circumscribing space, all with profoundly far-reaching and unpredictable effects. Maps, schools, and the harmonization of space and time would help spark ideas about a wider, more integrated ‘Mizo’ identity. Children, adolescents, and youth were not only critical partners but also often operated in networks completely unmediated by the white missionaries, in channels of circulations that generated important redefinitions of space, time, and ethnicity in the uplands.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".