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Record W4405989554 · doi:10.1080/14614103.2024.2447667

Animal Exploitation in the Tagus’ Estuary, Portugal (Fifteenth–Sixteenth Centuries)

2025· article· en· W4405989554 on OpenAlexfundno aff
Eva Pires

Bibliographic record

VenueEnvironmental Archaeology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsFifteenthEstuaryGeographyArchaeologyZooarchaeologyHistoryAncient historyFisheryBiology

Abstract

fetched live from OpenAlex

Published faunal assemblage analyses of medieval and early modern contexts from Portuguese archaeological sites remain infrequent. Nevertheless, the attention given to these materials has grown in the last decades, allowing us to identify consumption trends throughout the Iberian Peninsula. This paper presents the results of a faunal assemblage analysis from Vila Franca de Xira (Portugal), ascribed to the fifteenth–sixteenth centuries. In this context, the predominance of domestic mammals can be observed, mainly sheep/goat, cattle and pig. Birds, fish and molluscs, beyond other mammals like leporids and, possibly, cervids, would have complemented this population’s diet. Although most identified species belong to domestic animals, the presence of wild species was detected, attesting to the practice of hunting and fishing. These results can be compared to other Portuguese faunal assemblages from the same period.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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