A note on bird–habitat relationship in Kirala Kele, Sri Lanka
Bibliographic record
Abstract
Wetlands and their associated biodiversity are threatened by habitat loss and fragmentation, invasive species, and global climate change. Knowledge of the bird distribution pattern with respect to the habitats is critically important in conservation and management of both birds and their habitats. Hence, an attempt was made to investigate the abundance and diversity of birds associated with selected habitats in the Kirala–Kele (K–K) marshland system with reference to the habitat characters between June 2010 and November 2010. K–K Eco touring zone is one such marshland type wetland situated in Matara, Southern Sri Lanka. It covers an area of about 1,800 ha of natural marsh areas and abandoned paddy fields. In this study K–K bird sanctuary was divided into five sites, differing in water retention and vegetation types, situated along the southwest – northeast trail at least 500 m apart from each other.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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".