The Secrets of Koberwitz: The Diffusion of Rudolf Steiner's Agriculture Course and the Founding of Biodynamic Agriculture
Bibliographic record
Abstract
Rudolf Steiner presented his Agriculture Course to a group of 111, farmers and others, at Koberwitz (Kobierzyce, Poland) in 1924. Steiner spoke of an agriculture to 'heal the earth' and he laid the philosophical and practical underpinnings for such a differentiated agriculture. Biodynamic agriculture is now practiced internationally as a specialist form of organic agriculture. The path from proposal to experimentation, to formalization, to implementation and promulgation played out over a decade and a half following the Course and in the absence of its progenitor. Archival material pertaining to the dissemination of the early printed editions of 'The Agriculture Course' reveals that within six years of the Course there was a team of more than 400 individuals of the Agricultural Experimental Circle (AEC), each signed a confidentiality agreement, and located throughout continental Europe, and also in Australia, Britain, Canada, New Zealand, South Africa, and USA. Membership expanded to over 1000 AEC members (with a lower bound estimate of 1144 members) who were committed to working collectively towards an evidence based, new and alternative agriculture, 'for all farmers', which was to be developed into a 'suitable for publication' form. That publication milestone was realized in 1938 with the release of Ehrenfried Pfeiffer's 'Bio-Dynamic Farming and Gardening' which was published simultaneously in at least five languages: Dutch, English, French, German and Italian.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".