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Record W2332766197 · doi:10.14237/ebl.7.1.2016.572

Eastern Sumbanese Bird Classification and Nomenclature: Additions and Revisions

2016· article· en· W2332766197 on OpenAlexaff
Gregory Forth

Bibliographic record

VenueEthnobiology Letters · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTaxonNomenclatureTaxonomy (biology)CovertGeographyGenealogyHistoryClassification schemeEthnologyZoologyArchaeologyEcologyBiologyLinguisticsInformation retrievalComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.215
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2016
Admission routes1
Has abstractyes

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