The Maski Archaeological Research Project (2010–18):Initial Results from a Multi-Period Interdisciplinary Project on the Raichur Doab, Karnataka, 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 article summarizes the results of five field seasons of the Maski Archaeological Research Project, an interdisciplinary project evaluating the relationships between social and environmental production throughout prehistoric and medieval periods in a 64 km 2 region centred around Maski, Raichur district, Karnataka, India.We report the outcomes of intensive pedestrian survey and initial results from excavations, salvage activities and radiocarbon assessments of occupational histories.The data attest to the social and political significance of prehistoric burial practices, and medieval period settlement practices and land-use activities, highlighting how archaeological materials both belie and complement epigraphic analyses of the region.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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