Bibliographic record
Abstract
Damara terns Sterna balaenarum, African black oystercatchers Haematopus moquini and whitefronted plovers Charadrius marginatus, nest in the interdune hollows of the Alexandria Coastal Dunefield, South Africa. In order to manage effectively for dune breeding birds, nesting habitat and nest sites need to be identified. Nesting positions along the beach and in relation to the high water mark were recorded along 22 km of shoreline. In addition, physical variables were recorded at three levels: macro-habitat, nest-proximity and micro-habitat. Principal Co-ordinate Analysis identified which variables best described the nest sites of each species. Damara terns nested in two aggregations, plovers in the first section of shoreline and oystercatchers throughout the 22 km. Oystercatchers nested 70 m above the high water mark. The characteristic nest sites of each species differed in physical features at all three levels, but particularly in terms of substrate, proximity to vegetation and the high water mark, thereby resulting in clear partitioning of nest habitats. The potentially available nesting habitat for each of the three species is under-utilised. Since nesting success can be affected by human activity on the adjacent beach, active management is required to protect the nesting activities of those birds.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.012 | 0.004 |
| Insufficient payload (model declined to judge) | 0.991 | 0.994 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".