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Record W2023177417 · doi:10.1139/z01-058

Are long digits correlated with high forepaw dexterity? A comparative test in terrestrial carnivores (Carnivora)

2001· article· en· W2023177417 on OpenAlexfundvenueno aff
Andrew N. Iwaniuk, Sergio M. Pellis, Ian Q. Whishaw

Bibliographic record

VenueCanadian Journal of Zoology · 2001
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsManusCarnivoreBiologyCarnivoraMyologyForelimbAnatomyEcology

Abstract

fetched live from OpenAlex

The relationship between manus proportions and forepaw dexterity in 33 species of carnivores (Carnivora) was examined. Both the analysis of "raw" data and independent contrasts revealed no significant correlation between the metacarpal–phalanx (MCP) ratio and forepaw dexterity. This result was corroborated by a common origins test, which indicated that changes in the MCP ratio were not coincident with changes in forepaw dexterity throughout carnivore evolution. Together, these results suggest that the morphological basis for variations in manipulative behaviour may be quite complex. Other morphological features, such as manus and carpal shape and myology, may play a critical role in forepaw dexterity, but are not manifested as changes in manus proportions. Behavioural observations also suggest that manus proportions may be correlated more closely with locomotion rather than non-locomotory forepaw usage.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.292
Teacher spread0.254 · 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 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

Citations13
Published2001
Admission routes2
Has abstractyes

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