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Record W2146502183 · doi:10.1666/06085.1

Woodcutting behavior in beavers (Castoridae, Rodentia): estimating ecological performance in a modern and a fossil taxon

2008· article· en· W2146502183 on OpenAlexaffabout
Natalia Rybczynski

Bibliographic record

VenuePaleobiology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsBeaverCastor canadensisTransectAssemblage (archaeology)EcologyTaxonBiologyGeography

Abstract

fetched live from OpenAlex

An early Pliocene fossil locality in the Canadian High Arctic preserves the remains of the extinct beaver Dipoides sp. (Castoridae, Rodentia) in association with an assemblage of fossil beaver-cut wood. The wood assemblage presents a first opportunity to investigate woodcutting behavior and ecological performance in an extinct castorid genus. This study compares woodcutting in Dipoides sp. with that of the modern beaver, Castor canadensis , using evidence from small-diameter cut sticks (i.e., sticks transected by parallel series of cut marks) in combination with behavioral observations of Castor woodcutting. During woodcutting both Castor and Dipoides used their incisors unilaterally; the upper incisor was pressed against the stick while the corresponding lower incisor cut. Cut marks were relatively larger for Castor than Dipoides (scaled to incisor size). Compared with Dipoides, Castor more frequently used a cutting strategy that minimized the number of cuts needed to transect a stick (e.g., clipping as opposed to chip removal). Taken together, the behavioral evidence suggests that ecological cutting performance was lower for Dipoides than Castor.

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)0.001
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 score0.101
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.212
Teacher spread0.192 · 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

Citations43
Published2008
Admission routes2
Has abstractyes

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