Refined Radiocarbon Chronologies for Northern Iroquoian Site Sequences: Implications for Coalescence, Conflict, and the Reception of European Goods
Bibliographic record
Abstract
This article presents results to date of the Dating Iroquoia project. Our objective is to develop high-precision radiocarbon chronologies for northeastern North American archaeology. Here, we employ Bayesian chronological modeling of 184 AMS radiocarbon dates derived from 42 Northern Iroquoian village sites in five regional sequences in order to construct new date estimates. The resulting revised chronology demands a rethinking of key assumptions about cultural process in the region regarding the directionality and timing of processes of coalescence and conflict and the introduction of European trade goods. The results suggest that internal conflict may have preceded confederacy formation among the Haudenosaunee but not the Wendat, as has been previously assumed. External conflict, previously thought to have begun in the early seventeenth century, began more than a century earlier. New data also indicate that the timing and distribution of European materials were more variable between communities than acknowledged by the logic underlying traditional trade-good chronologies. This enhanced chronological resolution permits the development and application of archaeological theories that center the lived experiences and relational histories of Iroquoian communities, as opposed to the generalized thinking that has dominated past explanatory frameworks.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".