Bibliographic record
Abstract
Two eminent historians, Robert V. Hine and John Mack Faragher, present the American West as both frontier and region, real and imagined, old and new, and they show how men and women of all ethnic groups were affected when different cultures met and clashed. Their concise and engaging survey of frontier history traces the story from the first Columbian contacts between Indians and Europeans to the multicultural encounters of the modern Southwest. The book attunes us to the voices of the frontier’s many diverse peoples: Indians, struggling to defend their homelands and searching for a way to live with colonialism; the men and women who became immigrants and colonists from all over the world; African Americans, both slave and free; and borderland migrants from Mexico, Canada, and Asian lands. Profusely illustrated with contemporary drawings, posters, and photographs and written in lively and accessible prose, the book not only presents a panoramic view of historical events and characters but also provides fascinating details about such topics as western landscapes, environmental movements, literature, visual arts, and film. Following in the tradition of Hine’s earlier acclaimed work, The American West: An Interpretive History, this volume will be an essential resource for scholars, students, and general readers.
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 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".