Eastern Sumbanese Bird Classification and Nomenclature: Additions and Revisions
Bibliographic record
Abstract
Expanding on previously published research into folk classification of birds in the eastern part of the Indonesian island of Sumba, this article reports new information on bird categories and classification recorded by the author in 2015. New folk taxa are described and identified and scientific identifications for previously reported taxa are added or revised. Information on local bird classification from the Kambera region is compared with data recorded in the 1970s in the district of Rindi, and these are shown to reveal only minor differences. Employing Berlin’s well-known analytical scheme, the main features of the taxonomy are summarized and totals are enumerated for monotypic and polytypic folk-generics and both named and unnamed (covert) folk-intermediates. Additional information is provided concerning symbolic uses of bird categories, including bird names used as place names and local beliefs about nightjars (Camprimulgus spp.) which correspond to ideas encountered on the ethnozoologically better-known neighboring island of Flores.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".