Remote Sensing Soils and Social Geographies of Difference: The Landscape Archaeology of Regur from Iron Age through Medieval Period Northern Karnataka, Southern India
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper combines analyses of Landsat 8 multispectral data with textual records and diachronic low-density artifact distributions to evaluate how soil differences were incorporated into cultural landscapes around the multicomponent site of Maski, southern India. Spatial analysis indicates that Iron Age (1200–300 b.c.) and Early Historic Period (300 b.c.–a.d. 500) inhabitants differentiated soil types and used more water-retentive, clay-rich soils (regur) for agriculture and sandier soils for locations of metals production. Similar distinctions between soil types are evident in Medieval Period (a.d. 500–1600) inscriptions, but artifact distributions indicate that some inhabitants used less desirable sandier soils for agriculture during the period. Taken together, the distribution, remote sensing, and inscriptional data suggest that social inequalities in access to more valued soils contributed to a socially differentiated landscape by at least the 14th century a.d. and point to the combined role of archaeology and remote sensing to complement and interrogate the historical record.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it