Empires, Nations, and Families: A History of the North American West, 1800-1860
Bibliographic record
Abstract
Anne F. Hyde’s ambitious work is the second installment in the University of Nebraska Press History of the American West series. Weighing in at 541 pages of text alone, one might think Empires, Nations, and Families would be difficult to absorb. Thankfully, that is not the case.Hyde is a skilled writer whose expansive survey of the West from the Lewis and Clark expedition to the Civil War is both informative and engaging. Hyde discusses trans-Mississippi western history with one unifying theme: The development of the West, she argues, had less to do with national or even international politics than it did the creation of intersocial networks based on economic interests. Fur traders and other early European arrivals recognized their reliance on local tribes to procure the goods they wanted, while Native Americans benefited from guns and other European wares. To cement these trading relationships, white men married Indian women, thereby becoming a part of the extended family of the tribe.Such marriages, and the métis children that resulted, characterized the new face of the region, one that handled the constant shifts in government with equanimity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".