Advancing Participatory Technology Development: Case Studies on Integration into Agricultural Research, Extension and Education
Bibliographic record
Abstract
This book brings together 12 cases from different corners of the world that were prepared for the "Advancing Participatory Technology Development" (Advancing PTD) study initiated by the International Institute of Rural Reconstruction (IIRR) in the Philippines and ETC Ecoculture in the Netherlands. The present book includes a selection of 12 selected cases of "institutionalising" PTD<br> approaches in Africa, Asia and Latin America. The term "institutionalisation" refers to<br> integrating PTD into the day-to-day operations, decision-making and culture not only<br> of large formal institutions of agricultural research, extension, development and<br> education, but also of NGOs, farmer organisations and artisan associations. All of these studies were originally written for the workshop in 2001. In some but not all cases, the authors were able to update the cases by reporting on developments in the ensuing two years.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".