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FLUCTUATING ASYMMETRY IN ANTLERS OF ALASKAN MOOSE: SIZE MATTERS

2001· article· en· W2188868919 on OpenAlexfundno aff
R. Terry Bowyer, Kelley M. Stewart, John G. Kie, William C. Gasaway

Bibliographic record

VenueJournal of Mammalogy · 2001
Typearticle
Languageen
FieldMathematics
TopicMorphological variations and asymmetry
Canadian institutionsnot available
FundersU.S. Forest ServiceArctic Institute of North America
KeywordsFluctuating asymmetryAntlerBiologyUngulateZoologyEcology

Abstract

fetched live from OpenAlex

We studied characteristics of paired antlers, including types of asymmetry, from 1,501 Alaskan moose (Alces alces gigas). We observed no evidence of antisymmetry in moose antlers, but number of tines was greater on left than right antlers, indicating directional asymmetry. Absolute and relative fluctuating asymmetry (FA) occurred for palm characteristics but not for beam circumference. Relative FA varied inversely with the overall size of antlers for attributes of the palm, which was expected for a secondary sexual characteristic. Smaller-antlered males exhibited greater FA than did larger-antlered moose in palm characteristics. Because large-antlered males, which mate most often among moose and other polygynous cervids, expressed the least relative FA, we hypothesize that this metric indicates quality of individual moose. Whether symmetry of antlers is related to antler breakage or honest advertisement or whether females select mates based on FA is unknown and deserves additional study.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.163
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.033
GPT teacher head0.304
Teacher spread0.272 · 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.

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

Citations41
Published2001
Admission routes1
Has abstractyes

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