Unveiling the unknown: a butterfly checklist of the Adampur forest in Bangladesh
Bibliographic record
Abstract
Our study focuses on the butterfly checklist of the Adampur forest beat, located in the Rajkandi Reserve Forest of Moulvibazar, Bangladesh. The study was conducted between December 2014 and January 2018 and aimed to document butterfly species in the area. A total of 266 butterfly species belong to 149 genera and 6 families (Papilionidae, Pieridae, Nymphalidae, Lycaenidae, Hesperiidae, and Riodinidae) were recorded. The Lycaenidae family exhibited the highest species richness, comprising 33.08% (n = 88) of the recorded species, while the Riodinidae family was the least prevalent, representing 0.38% (n = 1) of the species. In this study, the butterfly species recorded revealed varying conservation status according to the International Union for Conservation of Nature Bangladesh assessment, with 26.69% listed as Endangered, 30.08% Least Concern, 23.68% Vulnerable, 1.50% Data Deficient, and 18.05% Not Evaluated. These findings offer crucial insights for future butterfly research and conservation in the Adampur forest beat. J. Bangladesh Acad. Sci. 48(1); 85-97: June 2024
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".