MétaCan
Menu
Back to cohort
Record W3091932022 · doi:10.1002/oa.2925

Evidence of horsemanship in two Szekler noblemen from the Baroque period

2020· article· en· W3091932022 on OpenAlexaff
Katie Zejdlik, Zsolt Nyárádi, Andre Gonciar

Bibliographic record

VenueInternational Journal of Osteoarchaeology · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsOutotec (Canada)
Fundersnot available
KeywordsPulpitMacedonianCoffinHistoryBaroqueArchaeologyInterpretation (philosophy)Period (music)Ancient historyArtArt historyAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract The Szeklers are a biologically and archaeologically understudied Hungarian cultural group who have occupied the Carpathian Basin since at least A.D. 1000. For most of their history, they were an autonomous group given special nontaxed status in exchange for their service to the Kingdom of Hungary as cavalrymen and defenders of the eastern front. Excavation of a church in Harghita County, Romania, has uncovered the remains of two adult males in a brick‐lined crypt beneath the pulpit of the church. The partial name ‘FERE’ was preserved in nails on the coffin lid of one of the interments. The Ferenczy family was the noble family for the area. Macroscopic observation of the skeletal remains showed several non‐normal skeletal characteristics. As a suite of traits, the characteristics suggest long‐term and frequent horseback riding per the clinical and archaeological literature. Skeletal indicators of horsemanship combined with the known responsibilities of Szekler noblemen support an interpretation of horse riding behaviour. This case study is important because it contributes to the growing understanding about skeletal modifications related to horseback riding and adds to the limited biological and archaeological literature regarding Szekler individuals.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

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 studies0.0000.011
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.090
GPT teacher head0.329
Teacher spread0.239 · 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 designQualitative
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

Citations8
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of OsteoarchaeologySame topicForensic Anthropology and Bioarchaeology StudiesFrench-language works237,207