Evidence for Berry and Maize Processing on the Canadian Plains from Starch Grain Analysis
Bibliographic record
Abstract
The ethnographic and ethnohistoric records from the Northern and Canadian Plains indicate that a variety of plants were utilized by past peoples. These accounts provide two important insights into plant use in this region where very little archaeological evidence exists for plant utilization. First, plant processing tools are most likely to be unmodified lithic tools that may escape our recognition. Second, a variety of plants, which can be identified via starch grain analysis, were processed with these tools. This project analyzed the residues from two unmodified lithic grinding tools, identified as possible plant processing tools, for starch grains. Our results indicate that not only were a nuinber of wild plant species, such as choke cherry (Prunus virginiana), saskatoon berry (Amelanchier alnifolia) and likely prairie turnip (Psoralea esculenta), processed with these implements, but so too was maize (Zea mays). These results not only provide important insight with respect to identifying a tool class, plant use, and trade within our study area, but also provide an exceptional window into the use of wild plant species, an aspect of human history that is poorly understood in many regions of the world in addition to the Northern Plains.
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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 | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".