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Record W4410288154 · doi:10.22543/0090-0222.2517

The Biogeography of a Disjunct Plant-Insect Relationship: Thimbleberry and Diastrophis kincaidii (Hymenoptera: Cynipidae) in the Great Lakes Region

2025· article· en· W4410288154 on OpenAlexfundno aff
Michael C. Rotter, Mac Strand

Bibliographic record

VenueThe Great Lakes Entomologist · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsnot available
FundersParks Canada
KeywordsHymenopteraDisjunctBiogeographyDisjunct distributionInsectBiologyBotanyEcologyGeographyPhylogenetic treePopulationDemographySociology

Abstract

fetched live from OpenAlex

The clonal shrub thimbleberry (Rubus parviflorus) ranges throughout western North America and is disjunct to the northern Great Lakes region. Diastrophis kincaidii (Hymenoptera: Cynipidae) is an obligate gall wasp of thimbleberry that has long been known from western North America but has only been reported from the Great Lakes region since the early 1990s. It has been suggested that Diastrophis kincaidii was only recently introduced into the Great Lakes region sometime in the 1980s. We conducted a survey to determine the distribution of D. kincaidii and its parasitoids within the thimbleberry range in the Great Lakes region. We found that D. kincaidii is restricted to the colder and more xeric habitats within the Great Lakes thimbleberry range. Additionally D. kincaidii was found to have colonized isolated micro-habitats in the region were it attained high population densities. The inquiline community inhabiting D. kincaidii in the Great Lakes Region was similar to past reports. This community included species from eastern and western North America as well as two undescribed species. We suggest that D. kincaidii and its inquiline community have long been a part of the insect fauna of the Great Lakes region and is likely a remnant of an original connected pre-glacial continental thimbleberry population.

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)0.001
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 score0.036
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.224
Teacher spread0.193 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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