Implementing the Kunming-Montreal Global Biodiversity Framework through Communications and Public Awareness
Bibliographic record
Abstract
The African BioGenome Project (AfricaBP) is a continental initiative aimed at sequencing the genomes of Africa’s vast biodiversity to advance conservation, sustainable resource management, and socio-economic growth. Effective implementation of this ambitious project requires a strategic communication framework that reflects Africa’s diverse cultural, linguistic, and infrastructural landscape, engaging stakeholders across different socioeconomic backgrounds, including local communities, indigenous groups, policymakers, scientists, and young people. The AfricaBP Communications and Public Affairs Subcommittee (AfricaBP CPA) strategy prioritises embracing African experiences and corresponding unique communication needs. It has developed a flexible and adaptive strategy that considers the breadth of experiences, languages and cultures of the African continent as well as the multiple time zones across which members need to organize for the successful delivery of work packages. Even following the successes of the AfricaBP CPA, there is still room for future growth. As a lean team, continuing to actively improve its processes, the next phase of the CPA will focus on incorporating more aspects of the (Kunming-Montreal Global Biodiversity Framework) KMGBF as relates to communications. Namely by promoting more platforms to share information on biodiversity; and integrating transformative informal education related to biodiversity and science communications through new activities in visual and audio media (YouTube and podcasts) and mentorships and science communication training to accompany the Open Institute agenda. Overall, the CPA has had a substantial impact since the inception of AfricaBP; it is a model for similar pan-African science organizations on how to prioritize and deliver an integrated communications strategy as a key element of a broader mission and vision to advance science within Africa. The next phase of the CPA is promising and will include innovations that address the complexity of working across Africa with different languages, cultures, and public understandings of science. Without the communications strategy as a key component of AfricaBP, the gains made for advancing genomics for biodiversity and conservation in Africa would be incomplete. Building a connection with the general public, policymakers, and other stakeholders is important in ensuring a long-lasting acceptance of the new scientific developments for effective implementation, promoting behavioural change, and promoting biodiversity values.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.032 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".