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Record W4252228326 · doi:10.1242/jeb.02577

BOUNCING BITES

2006· article· en· W4252228326 on OpenAlexaff
Douglas S. Fudge

Bibliographic record

VenueJournal of Experimental Biology · 2006
Typearticle
Languageen
FieldEngineering
TopicSports Dynamics and Biomechanics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsJungleClosing (real estate)Shot (pellet)Event (particle physics)HistoryComputer scienceEcologyBiologyPolitical sciencePhysicsLaw

Abstract

fetched live from OpenAlex

In the children's poem The Ants at the Olympics by Richard Digance, ant athletes get no respect. According to the poem:`At last year's Jungle Olympics, the Ants were completely outclassed. In fact, from an entry of sixty-two teams, the Ants came their usual last...'The poor ants don't win any medals because they have to compete against the hippos in the shot put and the cheetahs in the sprints. Too bad there were no events such as `fastest predatory strike' or `highest acceleration of an appendage,' because trap-jaw ants would win gold every time.In a recent paper in Proceedings of the National Academy of Science, Sheila Patek and colleagues report the results of a biomechanical study of jaw-closing in trapjaw ants. They found that these ants use their jaws to carry out some truly remarkable and downright athletic feats.Trap jaw ants are known for their absurdly large jaws that they use in fast predatory attacks. Patek and colleagues wanted to investigate the jaw-closing event using an ultra-fast video camera, because previous attempts with slower cameras were unable to resolve the entire event. The team was also interested in documenting other lesser-known uses of the jaw-snapping such as fending off intruders and escaping predators.To do this, Patek and her coworkers carried out a series of experiments with a high speed video camera that could capture 5×104frames per second. This allowed them to describe the details of jaw closing,and investigate whether the ants used their explosive jaws to propel themselves and/or intruders, and if so, how.They found that the jaws close with an average velocity of 38.4 m s-1, which gives trap-jaw ants not only the gold medal, but also the world record for the fastest movement generated by any organism. Falcons can drop out of the sky at far greater speeds, but they have gravity on their side. Trap-jaws pull off their feat using only stored internal energy.Getting the mandibles up to 38.4 m s-1 in just 100 ns requires incredible acceleration, in this case, 105g, which is exceeded only by the discharge of cnidarian nematocysts. The researchers also calculated that closing jaws can exert 47 mN of force, or about 400 times their own body weight. While this kind of force is certainly adequate to incapacitate prey, it is also enough to launch an ant into the air if the force is directed against something massive.The researchers found that the ants indeed launched themselves in the air when confronted with potential threats, and they did so with two distinct behaviours - one they used to repel intruders (called a `bouncer defense'),and another that they used to escape predators (called an `escape jump'). The bouncer defense was instigated by firing the jaws against an intruder, which had the effect of sending it and the ant off in opposite directions. The escape jump was elicited by directing the jaws down at the ground, sending the ant flying in the air, and presumably out of harm's way.Watching the supplementary online videos for this paper is strangely entertaining. In slow motion, one gets to watch the ants launch themselves into the air, all the while spinning at the impressive speed of 63 rev s-1. It's enough to make an Olympic gymnast or figure skater jealous - until you see the landing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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 designBench or experimental
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
Published2006
Admission routes1
Has abstractyes

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