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Record W4408970276 · doi:10.26786/1920-7603(2025)817

A survey of pollinator assemblies in two contiguous Richmond, Virginia (U.S.A.), urban green spaces

2025· article· en· W4408970276 on OpenAlexvenueno aff
Nicholas J. Ruppel, Lisa Trapp

Bibliographic record

VenueJournal of Pollination Ecology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsPollinatorUrban ecologyGeographyEcologyBiologyArchaeologyPollinationUrbanizationPollen

Abstract

fetched live from OpenAlex

The interactions between plants and their pollinators provide essential ecosystem services in support of the reproduction and propagation of flowering plants, as well as the nutritive support for pollinators and their offspring. Given the critical nature of these activities, coupled with exponential urban development and the concurrent, dramatic decline in pollinators worldwide, it has become increasingly important to evaluate the complex and specialized interactions between pollinators and their host plants. This includes assessing plant-pollinator interactions within urban green infrastructure. Here, we surveyed floral visitor interactions on nineteen summer-blooming plant species in two contiguous Richmond, Virginia, gardens. We observed 110 distinct flower visitor taxa, with the majority seen on four or fewer plant species. The most common flower visitors were bees, including Bombus impatiens, which was found on every plant surveyed. Although the flower visitor assemblages varied categorically among plant species, in total the two gardens hosted a broad range of generalist and specialist visitors. The results of this survey provide a regional and seasonal perspective on urban green space ecosystem dynamics.

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 score0.066
Threshold uncertainty score0.950

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 studies0.0000.000
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 head0.028
GPT teacher head0.276
Teacher spread0.247 · 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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