An Integrated Approach to Capacity Development in Forestry and Climate Change in West Africa
Bibliographic record
Abstract
The BIODEV capacity development programme (BCDP) uses forestry, agroforestry and trees to derive a broad range of development and environmental outcomes (high-value biocarbon) while strengthening the capacities of local and national institutions to be able to sustain the benefits. The BCDP conducted 40 long and short-term training activities in Burkina Faso, Guinea, Mali and Sierra Leone across the following categories: (i) Short-term in-country trainings and regional training e.g. support to UNFCCC negotiators running from 2-4 and 6-8 days and implemented using the Harvard Case and the Socratic Learning Methods; (ii) Short-term training abroad for three weeks on Managing Sustainable Forest Landscapes, and (iii) Long-term training abroad e.g. PhD study on forest governance and climate change. The success of BCDP is largely influenced by (i) the effectiveness of coordination and planning amongst trainers; (ii) the content, format, depth, focus and duration of the training vis-a-vis the needs of the trainees; and (iii) the strengthening of existing local and national decision making and implementation platforms for up-scaling high value biocarbon development approaches.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".