“This will destroy Jeev and Jantu”: infrastructures of modernity across water, energy, and land in Jaisalmer, India
Bibliographic record
Abstract
Abstract In the context of contemporary socioecological crises brought about through the political ontology of colonial capitalism, concerns about planetary conditions and their mounting pervasive impacts continue. Recognizing the rejection of natureculture as pivotal to the survival of current extractivist modalities, this paper delves into the infrastructural harm in the state of Rajasthan, intertwining developmentalism with ecological modernization. Despite India's myriad and diverse lifeways, coloniality's enduring grip on knowledge and being persists in the ostensibly “post”-colonial era. This influence is particularly evident in the transformation of lands used by resource-dependent agropastoralists first into “resource” frontiers (i.e., “wastelands”) and later into commodity frontiers (i.e., industrial water and energy infrastructures). Drawing on six months of cumulative fieldwork (2022–2024), this paper identifies the infrastructural harms stemming from water and energy infrastructures in Jaisalmer, India. While not exhaustive—in the presence of other concurrent military and industrial projects—first water and later energy industrial projects capture a larger pattern of cumulative effects of exchanging habitat for development. We argue that through an amalgamation of extractive projects that neglect place-based onto-epistemologies, in favor of modernist infrastructures, the national environmental politics temporally follows a trajectory of harms in India—renewing the harms of the past into present day harms for agropastoral futures.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| 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".