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Record W4409401007 · doi:10.1017/aaq.2024.84

Exploring the Arrival of Domestic Cats in the Americas

2025· article· en· W4409401007 on OpenAlexaff
Martin Welker, John R. Bratten, Eric Guiry

Bibliographic record

VenueAmerican Antiquity · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsTrent University
FundersUniversity of West Florida
KeywordsHistoryCATSGeographyArchaeologyGenealogyComputer science

Abstract

fetched live from OpenAlex

Abstract Domestic cats have lived alongside human communities for thousands of years, hunting rats, mice, and other pests and serving as pets and a source of pelts and meat. Cats have received limited archaeological attention because their independence limits direct insight into human societies. An adult and juvenile cat recovered from the Emanuel Point wreck 2 (EP2) reflect what are, most likely, the earliest cats in what is now the United States. Zooarchaeological analyses of these and other archaeological cats in the Americas demonstrate that cats ranged substantially in size: some were comparable to modern house cats, and others were much smaller. Isotopic analyses of the adult cat from EP2 provides insight into early shipboard cat behavior and their diet, which appears to have focused on consumption of fish and possibly domestic meat. Cats accompanied sailors on ships where they were relied on to hunt rats and mice that were infesting ships’ holds. Interestingly, based on these isotopic results, the adult cat from EP2 does not seem to have relied heavily on rats as a source of food. These pests were unintentionally introduced to the New World, and cats would have followed, hunting both native and invasive pests.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.207

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 studies0.0000.000
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 head0.055
GPT teacher head0.397
Teacher spread0.342 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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