Open Field Day events & associated Comms/Diss Reports - D8.7
Bibliographic record
Abstract
SustainSahel’s dissemination approach is now at its second year of implementation, and the open field days are one of its key elements. From the planning phase, the open field days created concrete synergies between the project partners, WPs and disciplines, thus kickstarting the transdisciplinary collaboration within the project frame on the ground and acting as a platform for mutual learning. Despite initial delays due to changes in the project’s consortium, the project partners took the dissemination approach in their hands and the first open field days were organized in six project sites in the second quarter of 2022. By now, 19 open field days have been organized in six project sites, to which 9 additional events by the project’s dissemination expansion sister project – DAAPS – can be added. The relatively early start of the dissemination approach in the timeline of the project is already yielding its fruits, with a consolidated collaboration between farmers, researchers, farmers’ organizations, students and extension officers that facilitates the flow of information and the openness to each other’s perspectives and messages. The open field days are integrated into a systemic approach, where links to the Innovation Platforms (IP) and to the newly created internal sharing forum contribute to deepening the discussions on the proposed CSL practices and the pathway to their adoption. SustainSahel partners had the opportunity to attend a four week comprehensive online training organized in 12 different modules, covering all aspects and steps regarding the farmer field school approach. This was a significant additional activity and external funding originally not foreseen in the DoA brought to the project. The current deliverable highlights the connections between the open field days and other elements of the project’s dissemination approach, providing insights into what has already been achieved, as well as an update on the latest decisions and the vision concerning the upcoming phases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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; both teacher heads agree on what is shown here.
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".