Revealing Indigenous Voices on European Maps as Primary Source Material for Understanding Cherokee Coalescence
Bibliographic record
Abstract
Cherokees and other Indigenous groups provided European colonizers with geographic knowledge of the Native South in the late sixteenth and early seventeenth centuries. Information originating from Indigenous groups found its way onto French and British maps. Alongside oral tradition and archeological sources, the nomenclature on European maps provide insight into the processes of Native coalescence in the Southeast. Scholars have used the term coalescence to describe the poorly understood process by which culturally unique Native communities, under colonial pressure, formed mixed communities that became culturally distinctive. This study uses the etymology of toponyms on early American Southeastern maps to investigate the processes of coalescence in the Cherokee homelands. The etymology of Indigenous toponyms on European maps indeed reveals that Cherokee coalescence happened over just a few generations and was often driven by demographic ascendency rather than violence. Cherokee oral history and archeological evidence support the changes in toponyms on the maps as Cherokee culture became dominant in areas occupied by diverse Indigenous groups.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".