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Record W2793073483

Spider (Araneae) assemblages in the Carmanah Valley on Vancouver Island : composition, habitat preferences, and phenology.

2008· dissertation· en· W2793073483 on OpenAlexaboutno aff
Claudia Copley

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpiderPhenologyHabitatGeographyEcologyComposition (language)BiologyArt
DOInot available

Abstract

fetched live from OpenAlex

Spiders of the Carmanah Valley, Vancouver Island, British Columbia were examined to determine differences in species assemblages in a regenerating clearcut and an ancient forest, and characterize life histories of the different species. Twenty-three families (113 species, 76 genera) were collected using Malaise traps. Diversity was greater in the regenerating clear-cut than in the ancient forest. The latter was dominated by the web-building guild. Assemblages in the two habitats were significantly different and species that preferred the regenerating forest tended toward spring/summer stenochronous life histories compared to fall stenochronous in the ancient forest. Eight species showed non-random distribution patterns relative to the riparian corridor formed by Carmanah Creek. Species that used both habitats did not show a shift in timing of reproduction despite differences in abiotic conditions. More adults were collected in the ancient forest habitat than in the regenerating clear-cut, while more immatures were found in the regenerating clear-cut.

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 score0.127
Threshold uncertainty score0.256

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 studies0.0010.000
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 head0.021
GPT teacher head0.268
Teacher spread0.247 · 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
Published2008
Admission routes1
Has abstractno

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