Seeds and Stories of Transformation From the Individual to the Collective
Bibliographic record
Abstract
This article documents the author’s experience participating in a course taught primarily by food activist, Dr. Vandana Shiva, and run by the Earth University in Uttarakhand, India. Drawing on Gandhi’s four pillars of nonviolent action, this article links individual course participants’ experiences of transformative learning to the transformation of the global food system. It begins with a brief overview of the course content and structure followed by a transformative learning literature review. It then provides sample participant narratives exemplifying various aspects of their own transformation and suggesting that this course supported participants in their already-in-progress process of transformation. The important role community-based organizations such as Navdanya play in efforts for global food systems transformation is also discussed. Within the context of personal and social transformation, the article concludes with a call for transformative learning to be accompanied by patience, particularly in light of the urgency created by today’s complex challenges.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.047 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".