Pig and dog use in the pre‐contact Society Island Chiefdoms: integrated ethnohistoric, archaeological and use‐web analyses
Bibliographic record
Abstract
ABSTRACT Pig and dog were highly valued animals in pre‐contact Polynesia. In this paper, I focus on pig and dog use in the resource rich, and hierarchically complex, pre‐contact Society Island chiefdoms. Utilizing ethnohistoric data and human‐centred use‐webs data, I provide a preliminary study of the diverse ways that pigs and dogs were used in pre‐contact Mā‘ohi life across 13 use categories. Ethnohistoric analyses indicate that pigs, and to some extent dogs, were intimately associated with elite ceremonial use, yet pigs were commonly associated with war and fertility rituals, while dogs were commonly associated with peacekeeping events. Preliminary comparison of pig and dog frequencies at eight excavated archaeological sites suggests pig bones far outnumber dog bones. There is also differential recovery of pig and dog bone in terms of site function and site status, with high status temples dating to the Centralization Phase having the highest incidence of both species. It is highly likely that the advent of the ‘Oro war cult led to intensified pig husbandry, given this animal's robust associations with ritual use, moral notions of chiefly power and cosmology. Why dog husbandry was less intensified in the Society Islands, and why this animal was perhaps accessed largely through long‐distance trade relationships, is an ongoing question.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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".