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Record W1201813273 · doi:10.22543/0090-0222.2552

Size Reduction Southward in Michigan's Mustard White Butterfly, Pieris Napi (Lepidoptera: Pieridae)

2025· article· en· W1201813273 on OpenAlexaboutno aff
Wolfgang Wagner, Michael K. Hansen

Bibliographic record

VenueThe Great Lakes Entomologist · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersCollege of Engineering, Michigan State UniversityMichigan State University
KeywordsPieridaeLepidoptera genitaliaButterflyPieris rapaePieris brassicaeWhite (mutation)BiologyBotanyEcology

Abstract

fetched live from OpenAlex

[Excerpt] The mustard white, Pieris napi (Linnaeus) is generally considered to be a circumboreal species or species-complex. Much disagreement exists regarding the classification in this group, the members of which are extremely diverse, especially in Eurasia. There is evidently "a continuous range of differentiation, from local populations, through subspecies, to species, which nomenclature cannot fully reflect" (Bowden 1972). In North America the major controversy has been whether the so-called West Virginia white, P. virginiensis Edwards, should be separated as a distinct species. Most writers today agree that it should. Of the mustard white in the Great Lakes area, the local subspecies is genelally treated as P. napi oleracea Hams (for summary ofthe taxonomicproblems, cf. Howe [1975]). This taxonoccurs extensively in Canada, and down into Minnesota, Wisconsin, and Michigan, where it becomes progressively less common southward. It is two-brooded, the members of the first brood commonly flying together with the univoltine virginiensis where their ranges overlap (Voss and Wagner 1956). Where they occur together, the two taxa are easily recognized and separated, but in the southern mountains, where napi is absent, the Appalachian form of virginiensis resembles the summer form of napi (Wagner 1978).

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 score0.260
Threshold uncertainty score0.454

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 head0.024
GPT teacher head0.219
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

Citations3
Published2025
Admission routes1
Has abstractyes

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