Bibliographic record
Abstract
In the last decade, the field of sensory history has made great strides in advancing understandings of the historical and cultural articulations of human ways of knowing. While this body of scholarship has been helpful in broadening our understanding of complex histories infused by the human senses, it nonetheless treats the continents with an uneven hand, largely ignoring the non-Western world. A preliminary ‘history through photographs’, this chapter mobilizes historical sources only recently located and digitally preserved in Mizoram to explore how upland encounters with Christianity were also encounters of the senses. The chapter is organized into six related sections of human knowing: hearing, seeing, tasting, smelling, touching, and the upland harhna (or ‘awakening’). By including a sixth ‘sense’ - the non-biological but still sensory-charged world of the historical upland harhna - we can attempt to approach the earliest Christians on their own terms, remaining attentive both to the diversity of sense broadly defined and to the potential hamfistedness of traditional Western models applied without due reflexivity to sensory cultures in other world regions. Paying special attention to the human senses in zo ram reveals a thicker and more highland-specific understanding of how Christianity in the Lushai Hills became a specifically and overwhelmingly Lushai Hills Christianity.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".