Social Stratification, Genealogical Distance, and State Formation in Early Hawaii and the Central Andes: Steps, Slopes, and Off-Ramps in Social Evolution
Bibliographic record
Abstract
Henri J. M. Claessen proposed that the early state came into being by a process of social stratification that led to the creation of genealogical distance between a ruler and the ruled. This article evaluates Claessen's proposition by comparing the development of early large-scale polities in Hawaii and the central Andes. The process of state formation in Hawaii largely followed Claessen's proposed ‘slope’ of political development – by the end of the sequence, kings were seen as gods in the protohistoric Hawaiian state. The central Andean Wari polity, in contrast, took an ‘off-ramp’ from Claessen's slope to a more heterarchical political structure of competing elite-led corporate groups. We explain some of the possible reasons for the differences between our case studies and emphasize that there are many branching pathways to greater political complexity in the ancient 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 | 0.001 | 0.002 |
| 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 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| 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".