Diffusion and adoption of organic and biodynamic winemaking in the Western Cape
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As a useful and an insightful tool for analysing the different aspects and complexities associated with the adoption and diffusion of agricultural innovations the diffusion of innovation (DoI) theory was used as an analytical tool to identify and understand the adoption and diffusion of organic and/or biodynamic (O/Bio) winemaking practices in the Western Cape. Six case studies were compiled from qualitative interviews conducted – three certified organic and three biodynamic. Two in-depth interviews were also conducted with professionals from the organic agriculture and the wine industry. Application of the DoI theory showed that O/Bio winemaking in the Western Cape is still in its infancy, with all the participants placed in the first quarter of the bell-shaped innovation curve. Findings that motivate or discourage adoption and diffusion of the innovations were also analysed.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it