Cetaceans of São Tomé and Príncipe
Bibliographic record
Abstract
Abstract The Gulf of Guinea is a marine biodiversity hotspot, but cetacean fauna in these waters is poorly studied and our knowledge is documented mostly from opportunistic (sightings and strandings) and whaling data. This chapter presents a short review of historical whaling in the Gulf of Guinea and an update of cetacean biodiversity in the waters of São Tomé and Príncipe. Observations since 2002 have confirmed the presence of 12 species of cetaceans, 5 of them new to the region (Striped Dolphin, Rough-toothed Dolphin, Risso’s Dolphin, Pygmy Killer Whale, and Dwarf Sperm Whale). The archipelago seems to be an important area for cetaceans, with some species (Bottlenose Dolphin and Pantropical Spotted Dolphin) being present throughout the year. The volcanic origin of the archipelago produces great depths very close to the coast, which may favor the approach of pelagic species like Sperm Whales, Killer Whales, and Short-finned Pilot Whales. Bays and shallow waters may also serve as protection or rest areas for particular groups, like mother and calf pairs of Humpback Whales. Major anthropogenic threats to cetaceans in São Tomé and Príncipe include habitat degradation due to overfishing, fisheries interactions, possibly some occasionally directed takes and, more recently, oil and gas prospecting. Consistent and dedicated research to inform national legislation, together with increasing environmental awareness and local engagement, would help to identify effective cetacean conservation strategies in the archipelago.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".