The Ambiguous Ecologies of Agri‐Alternatives: Exploring the Calculus of Social Reproduction in Rural India
Bibliographic record
Abstract
ABSTRACT This paper advances scholarship on agri‐alternatives by probing the gap between romanticised narratives of how alternative farming transitions ought to be and the actual practices farmers enact in their fields. Focusing on moments when such alternatives encounter on‐the‐ground realities, we propose ambiguous ecologies as a lens to explore the various elements shaping farmers' decisions and their complex dynamics. Centering social reproduction, we argue that transitions to agri‐alternatives are contested processes whereby farmers renegotiate productive and reproductive agrarian relations amidst uneven risks. Drawing on ethnographic insights from India, we contribute to feminist theorisation on the calculus guiding farmers' practices in two ways. First, by positing that ecologies and their materialities are key to how farmers navigate their engagement with agri‐alternatives, and second, by showing how ambiguous ecologies work as sites of agency where farmers make intimate calculations to construct liveable socio‐ecological relations against the grain of industrialised farming regimes.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.064 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".