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Record W4412123604 · doi:10.22215/cujs.v4i1.4693

Large Carnivorous Dinosaurs with Tiny Arms: Why Tyrannosaurus rex had Relatively Short Forelimbs

2025· article· en· W4412123604 on OpenAlexaff
Martin Albert

Bibliographic record

VenueCarleton undergraduate journal of science. · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsCarleton University
Fundersnot available
KeywordsBiologyAnatomyEvolutionary biologyPaleontologyZoology

Abstract

fetched live from OpenAlex

Tyrannosaurus rex (T. rex) is perhaps the most famous non-avian dinosaur due to its large size, ferocity, and portrayal in popular culture. T. rex was the apex predator of its time and dominated parts of North America during the Late Cretaceous around 66 million years ago. This theropod ranged from 12–13 meters in length and weighed around 7 tonnes. It had long, serrated banana-shaped teeth adept at crushing bone, a skull length of around 1.2 meters, and the most powerful jaws of any land animal ever to have lived. Curiously, T. rex had highly reduced forelimbs approximately 28% of its hindlimb length. The purpose of this paper is to discuss why T. rex had such proportionally short forelimbs, and what, if anything, they were used for. Proposed functional hypotheses range from signaling to holding prey to slashing. Hypotheses aiming to describe the mechanism behind reduction have included a compensatory relationship, where forelimb reduction is linked to the increase in skull size for more effective predation. Additionally, selective pressures from group feeding may have favoured reduction, as shorter forelimbs would reduce vulnerability to injury. These hypotheses and conclusions are discussed in terms of phylogenetics, behavioural ecology, and a literature-based assessment.

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)0.000
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 score0.068
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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