Bibliographic record
Abstract
Abstract The spread of Lapita cultural groups through the New Guinea region 3350–3250 years ago and into the uninhabited remote Pacific islands from 3050–3000 years ago was one of the greatest migrations in human history. Over subsequent millennia, novel adaptations and intergenerational social linkages led to the emergence of a complex mosaic of culture and language reflected in modern Pacific populations. Broadly defined as “post-Lapita,” this chapter assesses the current breadth of archaeological information about human settlement and practices in the few centuries after the arrival of Lapita communities within the former ambit of their distribution. In doing so, the authors highlight the continuity, change, and innovations of cultural practices and behaviors that contributed to such remarkable diversity. An assessment of “transitional” post-Lapita sites indicates that the complex motifs on Lapita pottery reflecting social markers were retained in Near Oceania for several centuries longer than in Remote Oceania, where diverse social identities were quickly forged within and between island groups. Settlement patterns, social networks, and subsistence strategies were continually adapted to localized constraints and, together with ongoing population migrations and cross-cultural interaction, contributed to the Pacific region becoming one of the most culturally diverse regions in the world.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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".