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Record W2065739009 · doi:10.4039/n05-080

The Mordellidae (Coleoptera) of the Maritime provinces of Canada

2006· article· en· W2065739009 on OpenAlexaffabout
Christopher G. Majka, John A. Jackman

Bibliographic record

VenueThe Canadian Entomologist · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsNova Scotia Hospital
Fundersnot available
KeywordsSubspeciesFaunaContext (archaeology)GeographyEcologyZoologyBiologyArchaeology

Abstract

fetched live from OpenAlex

Abstract The Mordellidae of the Maritime provinces of Canada is surveyed. Thirty species have now been recorded from the region. Of these, 17 are newly recorded for Nova Scotia, 11 are newly recorded for Prince Edward Island, and 7 are newly recorded for New Brunswick, for a total of 35 new provincial records. Three species, Mordellistena indistincta Smith, Mordellistena rubrifascia Liljeblad, and Mordellistena rubrilabris Helmuth, are newly recorded for Canada, while a further 11 species, Mordella melaena Germar, Mordellistena aspersa (Melsheimer), Mordellistena errans Fall, Mordellistena morula LeConte, Mordellistena picilabris Helmuth, Mordellistena sericans Fall, Mordellistena vilis (LeConte), Mordellina ancilla (LeConte), Mordellina nigricans (Melsheimer), Mordellina pustulata (Melsheimer), and Glipostenoda ambusta (LeConte), are newly recorded for Atlantic Canada. One subspecies, Mordella atrata lecontei Csiki, is removed from the region's faunal listing. The composition of the region's fauna as a whole, and related biogeographic questions, are briefly discussed. The Mordellidae are also discussed in the context of forest beetle communities in the region and the impact of historical forest management practices on old-growth specialist species.

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 score0.043
Threshold uncertainty score0.803

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.158
Teacher spread0.150 · 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

Citations12
Published2006
Admission routes2
Has abstractyes

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