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Record W4387222102 · doi:10.29173/comp66

Ride, Ride, Ride, Let It Ride: Pathological Lesions in Horse Skeletons Related to Riding.

2023· article· en· W4387222102 on OpenAlexaffvenueabout
Jennifer K. Laughton

Bibliographic record

VenueCOMPASS · 2023
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOsteologyDomesticationSkullAnatomyDentitionMandible (arthropod mouthpart)PathologicalBiologyMedicineOrthodonticsZoologyPathologyEcologyGenus

Abstract

fetched live from OpenAlex

The last 30 years have seen researchers working towards determining the earliest date of domestication for the horse (E. caballus), using osteological and pathological changes to a horse’s skeleton to infer evidence for riding—a key signature of domestication. This article provides an investigation and evaluation of the methods used, testing them on the skeletal remains of 12 horses of unknown provenience and history from Alberta, Canada. These methods include studies on the skull (cranium and mandible), the dentition (teeth), the spine, and the metapodials (lower leg bones). Overall, three of the horses exhibit osteological changes consistent with riding, three have ambiguous results, and the remaining six do not show sufficient changes. The limitations of the methods, the collections, and those of the researcher, are discussed in relation to the findings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.190
GPT teacher head0.444
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes3
Has abstractyes

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