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Measuring foraging activity in bumblebee nests: a simple nest‐entrance trip recorder

2009· article· en· W2031577950 on OpenAlexaff
Peter G. Kevan, Emily Cooper, A. D. Morse, Jean Pierre Kapongo, Les Shipp, S. Khosla

Bibliographic record

VenueJournal of Applied Entomology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsMinistry of Agriculture, Food and Rural AffairsAgriculture and Agri-Food CanadaUniversity of Guelph
Fundersnot available
KeywordsForagingNest (protein structural motif)BumblebeeBiologyBar (unit)Honey BeesBombus terrestrisEcologyZoologyPhysicsPollinatorPollinationMeteorology

Abstract

fetched live from OpenAlex

Abstract We describe a new, electronic, apparatus for measuring the activity of bumblebees as they fly from and to their nests. The bee activity recorder (BAR) works on the principle that bees leaving and returning to their nest crawl through a tube equipped with infrared emitters and detectors so that when the beam is interrupted by the passage of a bee, the event is recorded as either an exit or an entry. Tests of BARs indicate that they are highly accurate, BAR counts and visual counts highly correlated with an almost one‐to‐one correspondence. We suggest that BARs can be used for recording the foraging activities of bumblebees through nest exit and entry counts in many practical and research applications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.191

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 head0.054
GPT teacher head0.233
Teacher spread0.179 · 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
Published2009
Admission routes1
Has abstractyes

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