Property-work, work of property: figuring land and caste in an urbanizing frontier
Bibliographic record
Abstract
Property talk has gained a new amplitude amid soaring land prices in India’s agrarian-urban frontier. This article focuses on what is colloquially described as property ka kaam—property-work and ethnographically traces how property is continually made and remade on the ground. It heuristically identifies some of the key figures—the private developer, the religious leader, and the land broker—who, in their own specific ways, creatively improvise and draft the contours of an urbanizing frontier. It draws attention to everyday practices and discourses through which agropastoral land is turned into urban real estate and shows how the figures, working at different scales and capacities, navigate the complexly layered social-spatial dynamics of caste, class, community, and brotherhood to secure widespread consensus about urban transformation and coproduce an emergent agrarian-urban geography. This article opens a window into the opaque and dense world of property and highlights the contingent nature of property and place- and caste-based connections that undergird property-work.
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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 | 0.018 | 0.039 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".