Emancipatory Responses to Oppression: The Template of Land‐Use Planning and the Old Order Amish of Ontario
Bibliographic record
Abstract
In this paper I discuss the clash of values between the Old Order Amish community of Ontario and the dominant social paradigm in agriculture. Land-use and agricultural regulations, designed for an industrial style of agriculture, are experienced as a threat to the survival of the Old Order Amish agricultural social economy and community. The paper describes how I have worked with the Old Order Amish to respond to these challenges and to create public policies that will allow them to maintain their human and agricultural diversity and small-scale sustainable farm practices. Four case studies illuminating the oppressive land-use regulations along with the emancipatory responses to the oppression are examined. The social transformation themes include principles and processes for community psychologists, land-use planners, and community economic development practitioners to consider. The article has heuristic value for a practice-based approach to social change.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".