Archaeological Identification of Stone Fish-weirs Mentioned to Freycinet in 1819 on the Island of Guam
Bibliographic record
Abstract
In 1819, when the French corvette L'Uranie anchored off Apra Harbor in the Micronesian Island of Guam, its captain Louis Claude de Freycinet was told of the former use there of stone fish-weirs. This reference has long puzzled archaeologists and historians who assumed Freycinet was misinformed or such features were no longer in existence, given the frequent typhoons that affect the region. Recent archaeological surveys of Apra Harbor tidal flats, however, have identified low-walled coral enclosures at the mouth of two freshwater estuaries. At first. these were hypothesised to have been built to foster shellfish production under the Japanese occupation of Guam during World War II. However, controlled excavation of small sites adjacent to one of these complexes yielded late Latte Period pottery and wood charcoal radiocarbon dated to AD 1645–1725. This historic timeframe is within the plausible memory of the oldest generation of Freycinet's informants. These archaeological findings, combined with interviews, research of historical accounts and ethnographic comparisons of fishing practices in Micronesia and further afield suggest that Chamorro fishermen may have used the weirs to feed local populations and visiting sailors during the seasonal arrival of the Manila galleons for a long period after Ferdinand Magellan's visit in 1521. This conclusion has practical and contemporary implications for Chamorro today.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".