Crowding the Banks: The Historical Archaeology of Ohagi and the Post-Revolutionary Haudenosaunee Confederacy, ca. 1780-1826.
Bibliographic record
Abstract
This dissertation examines the settlement pattern, housing styles, subsistence practices, and trade relationships of Haudenosaunee communities in New York State and Ontario in the post-Revolutionary era (1783-1826). Historical and ethnohistorical literature has described the period as one of despair, cultural loss, factionalism, and dependency among the Haudenosaunee Confederacy, and the communities have been labeled as “slums in the wilderness,” confined on small tracts of land and isolated from one another. My excavation at Ohagi, a Tuscarora village in Seneca territory in the Genesee River Valley (ca. 1780-1792), in combination with previously unanalyzed museum collections and a reevaluation of county histories and primary source documents, reveals that the Haudenosaunee communities in post-Revolutionary New York and Ontario built villages in a network of settlement complexes, encircling an area of rich natural resources and facilitating movement between communities and nations. The evidence reveals that housing styles did not immediately shift to European-style log cabins, as often assumed, and the shift to smaller houses did not necessarily accompany a change in matrilineal family structure and relationships. This dissertation employs recent literature on Settler Colonialism to critique both the exiting interpretations of the post-Revolutionary era as well as the practice of archaeological excavation of Native sites.
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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 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".