The Carriacou Ecodynamics Archaeology Project: First Results of Geophysical Survey and Landscape Archaeology at the Sabazan Site, The Grenadines
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".