Syndromes of Production in Agriculture: Prospects for Social-Ecological Regime Change
Bibliographic record
Abstract
Agricultural syndromes of production can be recognized in both historical and contemporary times. Recent literature in ecology focuses on alternative ecological states and the tipping points that may separate them, suggesting a point of view that "regime" changes will happen at those points. In agricultural ecosystems the idea of a regime is equivalent to a syndrome of production and there is no reason not to expect that regime switches will occur when tipping points are reached. Using very minimal qualitative models of economic and ecological forces, it is shown that the basic structure of regime change expected in natural ecosystems might be also expected in agroecosystems. In particular structures of nonlinearity suggest alternative syndromes and the potential for catastrophic shifts resulting from small changes in driving conditions. Furthermore, relaxing the assumption of monotonicity reveals the potential for such catastrophic shifts resulting from stochastic forces or chaotic dynamics, even in the absence of changes in driving conditions.
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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 | 0.000 | 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".