What Lies Beneath the Surface: A Ceramic Technology Approach to Iroquoian Pottery
Bibliographic record
Abstract
High collared pottery rim sherds from sites designated as Huron-Wendat and St. Lawrence Iroquoian are analysed using a community of practice approach. Using several analytical methods on the same ceramic sherds, we aimed to determine the technological choices made by potters. We focused specifically on clay selection, temper selection and processing, preparation of the clay body and formation of the rim. Our findings demonstrate that for each step in the production process there are a range of practices represented within the study region. However, comparison with adjacent areas and earlier periods shows that there is consistency in technological choices that are specific to our study area. We argue that this is consistent with connections between the pottery making traditions in the Simcoe Uplands in Ontario and the St. Lawrence Valley areas. As traditions were maintained by people, so we envision connected communities across the study area.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".