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Record W4386287321 · doi:10.5772/intechopen.112157

New Studies on the Gaits Displayed by Miocene, Pliocene, and Pleistocene Fossil Horse Trackways

2023· book-chapter· en· W4386287321 on OpenAlexaboutno aff
Elise Renders, Alan Vincelette

Bibliographic record

VenueVeterinary medicine and science · 2023
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaleontologyGeologyEquusPleistoceneIchnologyEarly PleistoceneHerdingTrace fossilGeographyArchaeology

Abstract

fetched live from OpenAlex

The authors here apply a refined methodology to determine the gaits of fossil equids. Miocene trackways of Cremohipparion near Jumilla, Spain, contain three sets of tracks of equids trotting at around 2.9–3.4 m/s, crossed by another three sets of tracks of perhaps younger equids at play galloping at around 5.2–5.6 m/s. Other Miocene trackways include three sets of Hippotherium near Osoppo, Italy, galloping at around 6.2–6.5 m/s, and one of Scaphohippus from Barstow, California, in the United States, likely engaged in a rack (or less likely a trot) at 2.1 m/s. Pliocene trackways include one Hipparion near Elche, Spain, trotting at around 3.5 m/s, and three trackways of Eurygnathohippus from Laetoli, Tanzania, of equids racking (with one perhaps engaged in a running walk) at around 2.1–3.1 m/s, including tracks of what is likely a foal being supervised by its mare. Finally, a Pleistocene trackway of Equus near Cardston, Alberta, Canada, shows a horse in a gallop at around 6.6 m/s. Hence, Miocene to Pleistocene fossil trackways reveal that equids in the past possessed standard gaits (trot, gallop) as well as alternative lateral gaits (rack), and had similar herding behaviors found in modern horses today.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.505
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.137
GPT teacher head0.310
Teacher spread0.173 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2023
Admission routes1
Has abstractyes

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