Unravelling identities on archaeological borderlands: Late Woodland Western Basin and Ontario Iroquoian Traditions in the Lower Great Lakes region
Bibliographic record
Abstract
Abstract Borders, boundaries, frontiers, and borderlands are complex things and processes which have become important foci in social sciences over the last two decades. Using archaeological border theory, grounded in anthropological border theory, which focuses on the cultural dimensions of borders, the nature and function of borders and boundaries in the archaeological record of societies indigenous to the Lower Great Lakes can be explored. An archaeological border theory examines how notions of identity, ethnicity, and material culture interplay with borders, allowing for more complex interpretations of archaeological materials and sites. Applying this theory to archaeological evidence from the interaction zones, or borderlands, between archaeologically defined Late Woodland traditions illustrates how these concepts can lead to more complete understandings of the way people lived in the past. Examining borders in the past allows social scientists to recognize their historically situated, fluid nature and will lead to greater consideration of the socially constructed nature of borders in the present.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".