MétaCan
Menu
Back to cohort
Record W3197899872

At-risk and common bumble bees (Bombus spp.) forage differently in protected areas where they co-occur

2018· article· en· W3197899872 on OpenAlexaboutno aff
Shelby D. Gibson

Bibliographic record

VenueYork University Digital Library (York University) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsForageBiologyGeographyEcology
DOInot available

Abstract

fetched live from OpenAlex

Bumble bees are important pollinators in wild and managed ecosystems. In recent decades, some species of bumble bees have declined globally, including across North America. Declines have been reported in certain species of bumble bees historically present in southern Ontario, including: Yellow bumble bee (B. fervidus) (Fabricus, 1798), American bumble bee (B. pensylvanicus) (DeGeer, 1773), and Yellow-banded bumble bee (B. terricola) (Kirby, 1837). Various threats contributing to bumble bee population declines include: land-use changes, habitat loss, climate change, pathogen spillover from managed bumble bee colonies, and pesticide use. A general response to the need for action on pollinator preservation in North America has been to encourage planting “bee-friendly” plants. Previous studies show differences in common and at-risk bumble bee foraging; however, similar data are unavailable for Ontario. Our main research questions are: 1. Is there a difference in at-risk and common bumble bee (Bombus spp.) floral use in protected areas in southern Ontario? 2. Do at-risk and common bumble bees exhibit differences in pollen and nectar collection? We hypothesize that common and at-risk species forage differently, predicting that at-risk species forage on a limited selection of host plants. The results of a redundancy analysis show a difference in foraging between common and at-risk bumblebee species. This would have implications for the planting of appropriate forage as a conservation strategy for at-risk bumble bees in Ontario.

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 score0.340
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.016
GPT teacher head0.154
Teacher spread0.138 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)Same topicPlant and animal studiesFrench-language works237,207