In Search of a Touchable Body: Christian Mission and Dalit Conversions
Bibliographic record
Abstract
This paper significantly wishes to unpack the social and cultural impact of the mass religious conversion movements in Rayalaseema society with specific reference to Dalits during the period 1850 to 1880. This paper will use the archival material such as missionary records, magazines, pamphlets, and books written by missionaries; further, it will also utilize oral interviews collected from the field. The mass conversion movements established a relationship between Dalits and missionaries and brought them together. In their efforts to create a new Christian community of Dalit converts, missionaries had interacted with Dalits, shared meal with them, stayed with them and transformed forbidden and “polluted” ghettos into social spaces. The present paper argues that the practices of the missionaries were liberating and humanizing for Dalits. It will examine how these practices led to unintended consequences. It needs to be remembered that the missionaries’ aim was not to abolish caste but to develop Christianity. How did the missionaries contribute to social interaction and build a spirit of solidarity among the Dalit converts? Based on specific situations, incidents, and examples recorded in the missionary archives and oral interviews, the article observes that community conversion movements destabilized the caste structure and brought significant changes in the social life of Dalits in colonial Rayalaseema.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".