Back-to-the-Landers and the Emergence of a Peasant Paradigm in Manitoba
Bibliographic record
Abstract
Agri-food systems are driven by competing paradigms. Industrial farming paradigms seek to maximize profits by maximizing yields. The peasant paradigm is defined by desires for autonomy and sustainability and is represented through agro-ecological farming. This narrative inquiry based study explores the learning processes of back-to-the-landers in Manitoba to understand significant learning experiences, learning outcomes and motivations for moving “back to the land”, as well as how learning is shared as a form of social action. Transformative learning theory was used to understand whether these individuals experienced transformative learning, leading them to farm. The study concluded that research participants did not experience transformative learning if defined as fundamental perspective transformation. However, all participants experienced aspects of transformative learning through a series of “disorienting dilemmas” that motivated behavioral changes. These dilemmas restored values instilled in them as children, and spurred their desires to move back to the land.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".