MétaCan
Menu
Back to cohort
Record W4379804563 · doi:10.4182/zsgh5376.2003.113

Chapter 7: Exotic Nonsocial Bees (Hymenoptera: Apiformes) in North America: Ecological Implications

2003· book-chapter· en· W4379804563 on OpenAlexaboutno aff
James H. Cane

Bibliographic record

VenueSPIE eBooks · 2003
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsFaunaEcologyNest (protein structural motif)BiologyNectarPollinationIntroduced speciesPollenCompetition (biology)Geography

Abstract

fetched live from OpenAlex

Since the 17th century, 21 species of foreign bees are known to have joined the North America fauna of 3,800 species, comprising 0.5% of the overall continental fauna. Among these, only the honey bee is social. Among the six deliberately introduced bee species, all but the honey bee were released to pollinate agricultural crops. Most others were transported inadvertently with trans-Atlantic cargoes from the western Palearctic. Many of these foreign bee species remain restricted to limited areas of the eastern United States and adjoining Canada; four species have spread transcontinentally. Nearly all of these exotic species nest in stems or wood; two species nest in the ground; and one constructs free-standing nests of mud and pebbles. Most of these foreign bee species are polylectic (=use a taxonomic diversity of floral hosts for pollen), whereas the four narrowly oligolectic species continue to specialize on the same pollen hosts as in their native Europe. No evidence to date implicates these foreign nonsocial bee species in deleterious exploitative competition with native North American species for nectar or pollen (outside of agricultural crops). However, several investigators suggest that one or more Palearctic species of Megachile in California may be excluding native megachilids from suitable nesting cavities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.063
GPT teacher head0.212
Teacher spread0.149 · 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 source (direct Gemma or distilled Codex), 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
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueSPIE eBooksSame topicPlant and animal studiesFrench-language works237,207