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Record W2132493055 · doi:10.11646/zootaxa.1194.1.2

New Coleoptera records from owl nests in Nova Scotia, Canada

2006· article· en· W2132493055 on OpenAlexafffundabout
Christopher G. Majka, Jan Klimaszewski, Randolph Lauff

Bibliographic record

VenueZootaxa · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsSt. Francis Xavier UniversityCanadian Forest ServiceNatural Resources CanadaNova Scotia Hospital
FundersCanadian Forest ServiceU.S. Forest Service
KeywordsNova scotiaFaunaBiologyEcologyCapeGeographyArchaeology

Abstract

fetched live from OpenAlex

A preliminary study of boreal owl, Aegolius funereus richardsoni (Bonaparte), and northern sawwhet owl, Aegolius acadicus acadicus (Gmelin), nests from Nova Scotia, Canada revealed the presence of 14 species of Coleoptera, several of which represent significant extensions of their known ranges. Atheta (Datomicra) celata (Erichson) is newly recorded for North America; Atheta irrita Casey is newly recorded for Canada and eastern North America; Atheta pseudocrenuliventris Klimaszewski, and Hylota ochracea Casey are newly recorded for Nova Scotia; and Gnathoncus barbatus Bousquet and Laplante, Carcinops pumilo (Erichson), and Phyllodrepa floralis (Paykull) are newly recorded for Cape Breton Island. Gnathoncus barbatus, H. ochracea, A. irrita, A. pseudocrenuliventris, and Corticarina cavicollis (Mannerheim) are all recorded for the first time from bird nests. One new synonym Atheta (Datomicra) celata (Erichson, 1837) [= Datomicra wrangeli Casey 1911. syn nov. ] is designated. Additional new records of A. irrita from Québec are also reported. Attention is drawn to the limited state of knowledge of this specialized beetle fauna and to the high proportion (50%) of adventive species which were found in these environments.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.190
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), 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

Citations46
Published2006
Admission routes3
Has abstractyes

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