The occurrence and status of black-and-white Puffinus shearwaters on the Kenyan and Tanzanian coasts, with the first specimen records of Persian Shearwater P. persicus persicus
Bibliographic record
Abstract
We review specimens and sight records of small black-and-white Puffinus shearwaters in Kenya and Tanzania. An early specimen of an Audubon's Shearwater P. lherminieri sensu lato found inland at Limuru, Kenya in October 1963, long held to represent taxon bailloni (now treated as Tropical Shearwater P. bailloni), is reassigned here to P. b. nicolae. We refer three other specimens and two well-documented sight records to Persian Shearwater P. persicus persicus and a third sight record in northern Tanzania to P. persicus. We suggest that nominate persicus is a regular visitor to the central Kenya coast in December–March, probably as far south as the Pangani region of north-east Tanzania at least, concurrent with a seasonal upwelling event on the Kenya Banks associated with the north-east monsoon. Tropical Shearwater, however, is no more than a rare visitor to East African shores based on current evidence. Our data clarify the status of these shearwaters in the region, provide additional biometric data to complement published sources, and extend the western Indian Ocean non-breeding range of the nominate subspecies of Persian Shearwater approximately 2,000 km south from northern Somalia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".