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Record W7033949937

Species analysis of leather objects and manufacturing offcuts from Vindolanda, UK.

2024· article· en· W7033949937 on OpenAlexaff

Bibliographic record

VenueTeesRep (Teesside University) · 2024
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsWestern University
Fundersnot available
KeywordsAssemblage (archaeology)FrontierArchaeological evidencePeriod (music)Animal species
DOInot available

Abstract

fetched live from OpenAlex

The Roman fort at Vindolanda on the northern frontier in Britain has produced the largest assemblage of archaeological leather from anywhere in the Roman Empire. The assemblage spans over 200 years of occupation and includes numerous different types of artifacts, offering an excellent opportunity to examine the characteristics of leather used in manufacturing in the Roman period. This poster presents the preliminary analysis of the animal species used for different types of objects and manufacturing processes. Historically, it has been thought that Roman military tent panels were made from goat hides, and it is often stated that the uppers of some shoes utilized soft leathers such as goat or deer skin. Using ZooMS analysis (zooarchaeology mass spectrometry) we provide more specific protein analysis for the determination of species used for these products. Preliminary work shows a much higher reliance on cattle hides than goatskin in samples taken from the late first and the early third centuries C.E. Eight panels from the same tent dating to the first period of occupation at Vindolanda (ca. 85–90 C.E.) revealed that none were made of goat skin; three panels were made from cattle hide and five came from sheep hide. Moreover, all constituent parts from four shoes (insole, midsoles, outer sole, thong, uppers, and heel stiffener) were tested, three of which were comprised entirely of cattle hide (the fourth was a nonviable sample). Considering the perceived wisdom up to this point, these are very interesting and somewhat unanticipated results. This initial report of results is important to counter the expectations that were formed before the development of scientific analyses, which now provide accurate results of species used in Roman leather manufacturing.<br/><br/>

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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