The Relational Geography of Peri-urban Farmer Adaptation
Bibliographic record
Abstract
Agricultural geographers have long focused on farm adaptation to changing conditions. One frame for examining these adaptations is the modified political economy approach, which attempts to reconcile the conceptual tension between farmers as individual agents found within broader industry structures by focusing on adjustment strategies on the farm which recognize the power farmers can exercise in response to broader economic pressures. We build on this approach by conceptualizing and visualizing the relational geography of four peri-urban farm cases in the United States based off of farm household interviews. We focus on the emergent positioning of peri-urban farmers within the structural conditions of local development pressure and global industrial agricultural markets, and the resultant ability of farmers to adapt in the future. An immediate application of this framework, given the interest in food systems, would be to better target policies and programs in peri-urban areas for the purpose of regional food system development or community-based agricultural economic development. Keywords: farmer adaptation, agriculture, relational economic geography, periurban, political economy
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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 | 0.001 | 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".