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Record W4385801842 · doi:10.3389/fearc.2023.1208908

New zooarchaeological evidence from Pictish sites in Scotland: implications for early medieval economies and animal-human relationships

2023· article· en· W4385801842 on OpenAlexaff
Édouard Masson-MacLean, Sesilia Niehaus, Elizabeth Fraser, Veronica M. Lee, Shalen Prado, Orsolya Czére, Jovita Fawcett, James O’Driscoll, Linus Girdland-Flink, Gordon Noble, Kate Britton

Bibliographic record

VenueFrontiers in Environmental Archaeology · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsMcMaster University
FundersLeverhulme TrustUniversity of AberdeenÀrainneachd Eachdraidheil Alba
KeywordsZooarchaeologyMainlandGeographyLivestockArchaeologyResource (disambiguation)Subsistence economyConsumption (sociology)ExcavationEcologyAgricultureSubsistence agricultureBiologySociology

Abstract

fetched live from OpenAlex

Our knowledge of the use of livestock in early medieval Scotland is fragmentary and relies on a handful of well-studied faunal assemblages, with few from Pictland (north-east Scotland), an important and enigmatic group and latterly kingdom in Northern Britain that existed between the 3rd and 9th centuries AD. The assemblages that have been recovered and studied mainly occur at the limits of this territory, beyond the heartland of the Picts in the northern and eastern mainland. Recent archaeological excavations at three high-status sites in eastern Scotland have unexpectedly yielded well-preserved faunal remains providing a unique and long-awaited opportunity to explore further human-animal relationships and the use of animals in Pictish society. This paper presents new data from the initial study of these assemblages. It discusses the implications in terms of animal economy in Pictland, the potential of these sites to yield larger faunal assemblages and the directions of future research. Results show that cattle were a pivotal element of the economy, playing a multi-faceted role (beef and secondary products), pigs ranked second in frequency which likely reflects the high status of these sites and sheep appear as a marginal resource and were primarily raised for consumption. Results also suggest that these sites may have operated within an integrated network rather than functioning solely as self-sufficient entities.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.758

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 studies0.0000.002
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 head0.036
GPT teacher head0.236
Teacher spread0.199 · 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 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 routes1
Has abstractyes

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