Africa: selected marsh and mangrove areas
Bibliographic record
Abstract
Key pointsAfrica’s pantropical location bridges Atlantic and Indian Ocean mangrove forests; microtides support extensive estuarine and lagoonal wetlands on low coastal plains; population growth drives wetlands degradation and escalates mangrove loss from global warming and sea level rise; now many African countries are conserving and restoring mangroves; the case history for the Gambia River, Africa’s longest estuary, illustrates problems of protecting mangroves for services to local peoples; the Nile Delta on the world’s longest river records near-disappearance of the wetlands over the past ~2000 years; in South Africa, a 220 km-long UNESCO World Heritage Site spanning St. Lucia Bay (iSisangaliso) marks growing awareness of estuarine values and conservation needs; smaller East African sites have escaped major changes and new studies show caution is needed when interpreting wetland changes from grey mangrove pollen archives.
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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 | 0.000 | 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 | 0.001 |
| 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".