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Record W2965789947 · doi:10.1080/15564894.2019.1642969

The Carriacou Ecodynamics Archaeology Project: First Results of Geophysical Survey and Landscape Archaeology at the Sabazan Site, The Grenadines

2019· article· en· W2965789947 on OpenAlexafffund
Christina M. Giovas, Michiel Kappers, Kelsey M. Lowe, Laura Termes

Bibliographic record

VenueThe Journal of Island and Coastal Archaeology · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversityUniversity of Queensland
KeywordsArchaeologyGeographyDeforestation (computer science)Settlement (finance)Geophysical surveyHabitatLandscape archaeologyEcologyGeologyEnvironmental resource managementLandscape design

Abstract

fetched live from OpenAlex

The Caribbean island of Carriacou is notable for its recurrent drought, paucity of large, native land animals, and well-developed bank and barrier reef system. These environmental conditions presented challenges and opportunities to the Amerindians, Europeans, and enslaved Africans who settled here through time. While available evidence suggests human presence has altered island ecology through agriculture, deforestation, erosion, species introductions, and extinction, overall human ecodynamics remain poorly understood. In 2018, the Carriacou Ecodynamics Archaeology Project (CEAP) initiated a field program investigating long-term human-environment interaction to reconstruct Carriacou’s landscape history. The CEAP seeks to develop high-resolution records for anthropogenic habitat modification and change in biotic communities from initial Amerindian settlement (ca. AD 400) through the colonial period (1740s–1974) up to the present. Pilot investigations comprising pedestrian survey, test pitting, site mapping, and geophysical survey targeted the coastal archaeological site Sabazan, where ca. 1,600 years of pre- and post-contact settlement are recorded. Here, we present the results of this first field season, demonstrating the potential of geophysical survey approaches in the Caribbean and the need for renewed, focused attention to Carriacou’s archaeological resources which are being rapidly lost due to coastal erosion.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.007
GPT teacher head0.192
Teacher spread0.185 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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