Autonomy in agrarian studies, politics, and movements: An inter‐paradigm debate
Bibliographic record
Abstract
Abstract Autonomy has been a term often used in agrarian studies to express the ability of individuals or collective subjects to escape the rule of capital or the control of the state. Academic interventions on autonomy in different fields and disciplines discuss how global capitalism operates and what kind of subjects, spaces, and practices can resist it and build alternatives to it. However, a closer look at the literature reveals contending notions of autonomy. This special issue therefore aims to stimulate theoretical debates on autonomy. This introduction provides an overview of the general problematic and major theoretical debates around which the discussion on autonomy has been taking place. This problematic is not specific to rural social subjects but involves the discussion within the Left about the need and possibility for radical social change. This article explores how ideas about autonomy are used by radical agrarian movements and critical agrarian studies scholars. It also presents the key issues covered by and the arguments of the different contributors to this special issue.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".