Review of <i>The Indian Frontier, 1763-1846</i> By R. DouglasHurt
Bibliographic record
Abstract
Frontiers have dominated American historiography ever since Frederick Jackson Turner placed the term into the academic lexicon in the early twentieth century. Historians such as Bolton and Webb built entire careers around the ideology of the American western frontier, and the concept has grown exponentially since the mid-twentieth century. Today's scholar can choose from a host of publications focused on geographical frontiers. The American South, the Appalachians, Spanish Borderlands, colonial America, Canada, even Alaska and Hawaii, have all been dissected under the frontier scalpel. But surprisingly few scholars have focused on Native American frontiers. Dale Van Every broke ground in the early 1960s, followed by Ray Brandes in the 1970s. J. Norman Heard, who has yet to receive the recognition he deserves, has published a five volume work on Indian-white frontiers, and June Namias pioneered a gendered examination of Indian captivities on American frontiers in 1993. But it is in relation to Robert M. Utley that the value of R. Douglas Hurt's The Indian Frontier, 1763-1846 becomes most evident. Utley, the dean of Anglo-Indian relations, published his analysis of Indian frontiers of the American West from 1846-1890 in 1984. Hurt's book fills in the historiographical gap by featuring the Indian frontier during the preceding eighty years. Hurt's sweeping work examines Indian white relations from the perspective of British, Spanish, and American exploration, along with a brief acknowledgment of Russian activity in the American West. But it is his regional analysis that makes Hurt's work most significant. The American northeast, the southwest, the Pacific northwest, the transAppalachian region, the Mississippi Valley, and the Far West are all examined in terms of confrontation. Great Plains scholars will appreciate Hurt's approach to the significance of the opening of the Santa Fe Trail on Indian-American relations. Under his pen, the impact of the intersection of the Mexican northern frontier, the American southwest, and the Osage, Kiowa, and Comanche homelands is laid bare. As a military history, Hurt's study proves the inefficacy of American Indian policy in the region. By way of criticism, Hurt's history is primarily a man's history, with only an obligatory nod in the direction of Native American women, an oversight emphasizing the need for a thorough analysis of an Indian women's frontier.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".