Bibliographic record
Abstract
This study documents and theorizes the processes behind the coalescence of ancestral Huron-Wendat populations on the north shore of Lake Ontario. A multiscalar analytical approach is employed to examine settlement aggregation at the regional, local and community levels. The study draws upon cross-cultural models of coalescent societies and the archaeology of communities while being theoretically situated within an historical-processual approach. The settlement data presented demonstrate that during the fifteenth century AD, small, previously distinct communities came together into large village aggregates. Through an examination of settlement relocation sequences and the occupational histories of individual villages, the transformations in social and political organization that accompanied this process are examined. Differences between site sequences suggest that while it is possible to identify similar processes in coalescence, the actual experience of coming together varied at the local level due to particular historical contingencies. A major contribution of the study is a detailed analysis of one village relocation sequence involving the aggregation of several small village communities at the Draper site, during the late fifteenth century. In the early sixteenth century, this coalescent community relocated to establish the Mantle site, the largest Iroquoian village excavated to date in the Lower Great Lakes. A detailed analysis of the occupational history of the Mantle site is presented here. The results point to the increasing integration of the community over time. A comparison of the built environments and other features of the Draper and Mantle sites elucidate practices that directly address the lived experience of coalescence. These community-level processes are ultimately situated in, and form the basis for, the broader sociopolitical realignments that characterized the Late Precontact Lower Great Lakes.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".