Understanding the current state of collaboration in the production and dissemination of adaptation knowledge in Namibia
Bibliographic record
Abstract
Adaptation to climate change is challenging in terms of managing knowledge flow among diverse actors. This paper examines the roles of key actors in Namibia in the production and dissemination of climate adaptation knowledge. The intention was to identify opportunities for enhancing collaboration among actors to facilitate knowledge flow and uptake in adaptation action. The Omusati Region was used as a case study in understanding the chain of interactions among actors from local/district to the national level vis-à-vis the production and dissemination of adaptation knowledge in Namibia. The researchers conducted key informant interviews with representatives of key organizations in the Namibian adaptation network operating in the Omusati Region. The selection of the organizations of interviewed respondents was based on a previous climate change adaptation stakeholder and influence network mapping exercise in the region. Results indicate that adaptation knowledge generation by organizations happens mainly in the context of other developmental services. Furthermore, most organizations generate their adaptation knowledge internally through their directorates of research and also through cooperation with other organizations. However, there is little or no collaboration between organizations with respect to dissemination of adaptation knowledge to intended targets. The study, therefore, recommends a more concerted effort towards improving collaboration between organizations, and with local communities in the dissemination of adaptation knowledge as a way of enhancing knowledge uptake. This will have practical implications for the improvement in the rate of knowledge uptake in adaptation actions, particularly at the local level. In this regard, the use of workshop and field day meetings show the best prospect for improving collaboration between organizations in knowledge dissemination.
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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 | 0.006 | 0.001 |
| 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 | 0.000 |
| 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".