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Record W2007558964 · doi:10.1080/03014223.2003.9518330

The aleocharine rove beetle fauna of the Three Kings Islands, New Zealand (Coleoptera: Staphylinidae), with descriptions of two new species

2003· article· en· W2007558964 on OpenAlexafffund
Jan Klimaszewski, John W. M. Marris, Stephen Thorpe

Bibliographic record

VenueNew Zealand Journal of Zoology · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsNatural Resources CanadaCanadian Forest Service
FundersCanadian Forest ServiceU.S. Forest ServiceUniversity of Canterbury
KeywordsFaunaBiologyMainlandHomonym (biology)Key (lock)ZoologyEcologyGenus

Abstract

fetched live from OpenAlex

Abstract The aleocharine fauna of the Three Kings Islands, New Zealand, according to the current state of knowledge, comprises Aleochara watti Klimaszewski 1997, Atheta kingorum n. sp., Myllaena intermedia Erichson 1837, Neodoxa secreta (Cameron 1950) new combination, ’Ocalea’ zelandica n. sp., and Pseudopisalia turbotti Cameron 1950. All species are probably endemic to the islands, with the exception of the Palaearctic M. intermedia , which is herein reported from the Three Kings Islands for the first time. Neodoxa new name is proposed as a replacement name for the junior homonym Heterodoxa Cameron 1950 (not Malloch 1932). Lectotypes are designated for the following (original combinations in parentheses): Neodoxa secreta (Cameron 1950) ( Heterodoxa ) , Pseudopisalia turbotti Cameron 1950, as well as for the following four nominal species from the New Zealand mainland: Atheta brouni (Bernhauer and Scheerpeltz, 1926) (replacement name for A. atriceps (Broun 1880) ( Gyrophaena ), ‘Ocalea’ socialis (Broun 1880) ( Gyrophaena ) ( = crepera Broun 1894, new synonymy), and ‘O.’ fungicola (Broun 1894) ( Calodera ). All six species of Aleocharinae from the Three Kings Islands are redescribed, a key is provided, and their affinities are discussed.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.976

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 head0.020
GPT teacher head0.215
Teacher spread0.195 · 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

Citations2
Published2003
Admission routes2
Has abstractyes

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