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Animal Supply

2021· book-chapter· en· W4200491414 on OpenAlexaff
Michael MacKinnon

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsContext (archaeology)ZooarchaeologyHistoryCaptivityGeographyArchaeologyAncient historyEthnology

Abstract

fetched live from OpenAlex

Abstract Animals of all types, be these domestic or wild, native or exotic, were routinely required for spectacles and events in the Graeco-Roman world, most notably, perhaps, in the context of the amphitheatre games of Roman antiquity. Behind such events, however, lay networks involved in the capture, transport, and supply of these animals. The integration of ancient textual, iconographical, and archaeological (including zooarchaeological) evidence provides the requisite data to investigate these aspects. Available ancient textual and artistic evidence suggest that soldiers and professional hunters, assisted by civilians and natives as required or demanded, undertook many of these tasks. Guilds or professional organizations of wild beast hunters and merchants provided further administrative, technical, financial, and transport assistance. Equipment involved in capturing the animals varied depending upon factors such as the size, age, or ferocity of the animal, but included a range of nets, cages, and traps, among other methods. Extrapolation from more modern practices, however, suggests that baiting and ambushing, arguably somewhat less noble or brave tactics, likely characterized much of exotic animal capture in antiquity. Treatment for many of these animals, in transit to their final destination, was probably poor; large numbers certainly perished during transport or while in captivity. Available zooarchaeological evidence helps locate exotic animal bones across different contexts in the ancient Graeco-Roman world, including beasts presumably involved in amphitheatre games, but also provides tempering evidence to downplay the magnitude of numbers actually supplied to such events, as is attested in ancient textual and iconographical data.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.780
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7800.586

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 head0.034
GPT teacher head0.174
Teacher spread0.140 · 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.

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
Published2021
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicAncient Near East HistoryFrench-language works237,207