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Record W6975087255 · doi:10.5886/gjdrpe

Survey of wild bees in central Alberta – 2018

2023· dataset· en· W6975087255 on OpenAlexaffabout

Bibliographic record

VenueCanadensys · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsAlberta Environment and Protected Areas
Fundersnot available
KeywordsHabitatBorealRange (aeronautics)GrasslandTaiga

Abstract

fetched live from OpenAlex

During 2018, Alberta Environment and Parks conducted an inventory of bees (Hymenoptera: Anthophila) in central Alberta, Canada with focus on the Parkland Natural Region of the province. Blue vane traps were installed at 31 locations. Twenty-six sites were in or immediately adjacent to the Parkland Natural Region, two in the Grassland Natural Region, and three in the Boreal Forest Natural Region. Each trap was deployed for approximately two weeks within each summer month (May-August). Traps were usually situated where a variety of habitat types (forest, grass, water, agricultural) were in close proximity (<1 km), and usually on lands designated for habitat preservation such as parks, natural areas, and private conservation properties. The mean trapping duration over the summer at each site was 1275.2 hours with a range of 696-2547 hours. Survey results included 8808 bumble bees (Apidae: Bombus) of 22 species, which have been reported on elsewhere (https://data.canadensys.net/ipt/resource?r=bduc-bombus-specimens). We report here on the wild, non-Bombus species collected through this sampling program. A total of 4626 wild bees of 5 families (Andrenidae, Apidae, Colletidae, Halictidae, Megachilidae) and 25 genera were collected. The most common among the 82 identified species were Lasioglossum zonulum (n=1586), Melissodes confusus (n=1114) and Anthophora terminalis (n=629) which collectively made up 72.0% of specimens collected. L. zonulum and A. terminalis were the most widespread species (both at 29/31 sites), followed by L. leucozonium and M. confusus (25 and 23 sites, respectively). Twenty-three species were found at only a single site.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.012

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 head0.036
GPT teacher head0.274
Teacher spread0.238 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes2
Has abstractyes

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Same venueCanadensysFrench-language works237,207