Bibliographic record
Abstract
This paper explores India’s agropastoral desi oon (wool) textile traditions and their significance in embodying prosperity, focusing on hand-spun and handwoven Pattu textiles. Pattu is a multifunctional textile—used as a shawl, skirt, blanket, mat, or rain cover—valued for its durability and warmth in desert climates. The word “Pattu” derives from patti, meaning narrow-width fabric, woven on pit treadle looms (Khaddi) (Rustagi, 2021). Two narrow strips (pattis) are stitched together to form a blanket or shawl (Munshi et al., 1992). Grounded in Indigenous and Local Ecological Knowledge (ILEK), Pattu’s making involves intergenerational hand-spinning, weaving, and embroidery practices. These textiles not only reflect the ecological rhythms of desert life but also sustain a meaningful relationship between communities and their environment. Crafted from locally sourced desi oon, Pattu embodies both ecological sustainability and cultural identity (Jaitly, 1990). By exploring embedded skills, seasonal rhythms, and collaborative production, this paper highlights how Pattu supports rural livelihoods, preserves intangible cultural heritage, and fosters community resilience. In an era of climate crisis and industrialized fashion, Pattu offers a culturally rooted, sustainable alternative that reconnects people, place, and practice.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.027 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".