“A King in Every Countrey”: English and French Encounters with Indigenous Leaders in Sixteenth-Century America
Bibliographic record
Abstract
Beginning with Columbus’ 1493 report of kings among the “Indians,” European expeditionaries regularly perceived Indigenous leaders as kings during the first century of colonialism in the Americas. English and French narratives of the sixteenth century, following the models of early Spanish and Portuguese accounts, brought to light the existence of Aboriginal monarchs throughout the Americas, from the Arctic to Brazil and from New England to California. Popular compilations of travel accounts only cemented the trope in the European imagination. The ubiquity of such kings in early English and French colonial writing reveals the conceptual frameworks through which colonizers perceived the New World and the logic of the strategies they devised to conquer it. Toward the end of the sixteenth century, English and French views diverged, with the latter demonstrating a general reluctance to use the term “king” for Native American leaders. By contrast, English sources would continue to employ the vocabulary of kingship for this purpose into the nineteenth century.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.037 | 0.017 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".