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Highlights in the Pre-Contact Archaeology of the Island Caribbean

2025· book-chapter· en· W4413395058 on OpenAlexaff
Scott M. Fitzpatrick, Christina M. Giovas, William J. Pestle

Bibliographic record

VenueOxford University Press eBooks · 2025
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsArchaeologyGeographyHistory

Abstract

fetched live from OpenAlex

Abstract The Caribbean islands were the first—and perhaps only—archipelago in the Americas to be settled by Indigenous peoples who went to sea without a guarantee of island inter-visibility. Using dugout canoes and taking advantage of prevailing winds and currents, both major and minor population movements left the South American littoral zone (and perhaps other source regions) in different stages between about 6000 and 1500 years ago. Indigenous groups first settled islands that were closest to the mainland, ultimately reaching the various Greater and Lesser Antilles over a period of some 5000–6000 years. An increasing amount of archaeological research in recent decades, coupled with advances in various analytical techniques, has helped to significantly enhance the understanding of Indigenous origins and cultural lifeways in the Caribbean. This chapter focuses on several areas of research that have led to a better understanding of the origins, environmental interactions, resource use, diet, and mobility of those who first settled these islands and their later descendants: (1) how pottery, as the most ubiquitous artifact type, has played a prominent but disproportionate role in developing cultural chronologies; (2) the role of zooarchaeology—long an important avenue for examining subsistence and anthropogenic impacts on animals—in establishing the antiquity and refining the understanding of non-native animal introductions in the Caribbean; and (3) isotopic analysis, which has been useful for analyzing mobility, nutrition, diet, and health in the insular Caribbean and saw some of its first applications in the region during the method’s earliest development.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.606

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0070.004
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.167
Teacher spread0.157 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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