The importance of geodiversity in understanding and conserving the Western Rift Valley Corridor
Bibliographic record
Abstract
Earth Stewardship is a transformative initiative that emphasizes the crucial interdependence between human societies and the intricate ecological systems that sustain all life on our planet. Recognizing geodiversity, a concept encompassing the geological and geomorphological characteristics of the Earth’s surface, as an integral dimension of Earth Stewardship, this review highlights its scientific underrepresentation, particularly in East Africa. Geodiversity is pivotal for the integrity of ecological systems, emphasizing its significance as an essential component. By focusing on the Western Rift Valley Corridor (WRVC) within East Africa and its connection to the broader East African Rift System (EARS), we aim to shed light on the significance of geodiversity and its integration with ecological systems in the context of Earth Stewardship. We identify 20 “heritage nodes,” areas of significant geological and ecological value, within the WRVC and demonstrate how geological processes have shaped the region’s landscape. The paper emphasizes the significance of the WRVC as a vital component of the Africa Alive Corridors (AAC) project, which promotes sustainable development in Africa by fostering connections between earth sciences and the humanities. It argues that a transdisciplinary approach involving local communities and stakeholders is essential for the conservation and development of the WRVC and other similar heritage corridors in Africa. The study concludes that geodiversity is a crucial pillar of heritage that enhances our understanding of ecosystems and contributes to sustainability efforts through Earth Stewardship. This research provides a basis for future work within the AAC initiative and the development of ecosystem services among researchers and local stakeholders.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".