Early Metal Age Dentate-stamped Pottery and Jars in Wallacea:
Bibliographic record
Abstract
Dentate-stamped pottery is identified as one of the earliest types of Austronesian pottery found in Maritime Southeast Asia, the Mariana Islands in Micronesia, the Bismark Archipelago, and other islands in Melanesia. Lapita pottery in Melanesia is one of the most famous types of dentate-stamped pottery. Throughout Maritime Southeast Asia, however, this specific type of pottery has currently only been excavated from Northern Luzon in the Philippines with a few pieces reported from Sulawesi (Kamassi, Minanga Sipakko, and Mansiri) in Indonesia. The possible dates of dentate-stamped pottery in Northern Luzon might go back as early as Neolithic times, around 4000 years ago, while the exact dates of Sulawesi dentate-stamped pottery are unclear and might date from 3500 to 2000 years ago. In such a situation, the excavation we recently conducted at the Goa Topogaro Complex in Central Sulawesi uncovered considerable amounts of high-quality dentate-stamped pottery, but these are associated with the Early Metal age burials in cave and rock-shelter sites. In this article, we synthesize the significant outcomes from our archaeological findings, such Early Metal age burials and dentate-stamped pottery from the Topogaro 2 cave and Topogaro 7 rock shelter among the complex and discuss the possible continuation of dentate-stamped pottery tradition of the Early Metal age in Central Sulawesi and its meaning.
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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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".