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Record W2740702042 · doi:10.1017/laq.2017.14

JAMAICAN TAÍNO SETTLEMENT CONFIGURATION AT THE TIME OF CHRISTOPHER COLUMBUS

2017· article· en· W2740702042 on OpenAlexafffund
David V. Burley, Robyn P. Woodward, Shea Henry, Ivor Conolley

Bibliographic record

VenueLatin American Antiquity · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsExcavationArchaeologySettlement (finance)MarlGeographyPeriod (music)HistoryStructural basinGeologyPaleontologyArt

Abstract

fetched live from OpenAlex

Stranded in Jamaica for a year in AD 1503, Christopher Columbus and crew became reliant on the Taíno village of Maima for provisions. Recent archaeological survey and excavations at this site document a sizeable hillside settlement established early in the White Marl period of Jamaican culture history with continued occupation up to Spanish contact. Beginning by 13th to 14th century AD, the people at Maima expanded their settlement capacity across the hillslope through construction of house terraces and platforms employing large volumes of limestone rock and gravel fill. Archaeological excavation on these features has exposed at least one circular, center-pole Taíno house with a surprisingly limited floor space. A review of Jamaican archaeology suggests both hillside terracing and small house form is characteristic of Jamaican Taíno village configuration more broadly. This pattern stands in contrast to other areas of Taíno settlement in the Caribbean, and to the small number of Spanish chronicles in which Taíno villages and houses are described.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

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 studies0.0020.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.307
Teacher spread0.285 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2017
Admission routes2
Has abstractyes

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