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Record W4230891944 · doi:10.24124/2013/bpgub886

Effect of Formica aserva Forel (Hymenoptera: Formicidae) on ground dwelling arthropods in central British Columbia.

2013· dissertation· en· W4230891944 on OpenAlexaffabout
Kendra Gail Schotzko

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsCanadian HeritageUniversity of Northern British ColumbiaLibrary and Archives Canada
Fundersnot available
KeywordsHymenopteraAbundance (ecology)EcologyBiologySpiderGround beetleHabitat

Abstract

fetched live from OpenAlex

Carabids and spiders have potential as bioindicators, but may experience niche overlap with some ants. While some studies have uncovered mixed responses by these taxa to ants, negative associations are frequently found. We examined carabids and spiders in a British Columbia clearcut in zones colonized and non-colonized by Formica aserva ants. The number of carabids captured in colonized and non-colonized zones differed significantly from expected, and species-specific patterns were observed. While the activity-abundance of most spider species did not differ between zones, the activity-abundances of five species were significantly different in colonized and non-colonized zones. We also investigated behavioural responses by the carabid Pterostichus adstrictus to signals of ant presence, and observed that this carabid avoided crushed F. aserva gasters. Our results indicate that F. aserva may influence the activity-abundance of some carabid and spider species, and that some carabids may be able to detect F. aserva chemical signals. -P. ii.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.241
Teacher spread0.236 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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