Cowboys, Ranchers and the Cattle Business
Bibliographic record
Abstract
Cowboys, Ranchers and the Cattle Business: Cross-Border Perspectives on Ranching History is an easily accessible and comprehensive summary of current studies on the Canadian ranching frontier. This collection of essays provides an excellent perspective on the latest developments in the historiography of the range, drawing from topics such as Wild West shows, artistic depictions of the cowboy, and the economic and practical aspects of early cattle ranching. The essays anthologized here fall into three general areas: the working cowboy, the performing cowboy and the imaginary cowboy. The academics, ranchers, poets and cowboys who authored them hail from backgrounds as diverse as history, geography, political science, and literature. Cowboys, Ranchers and the Cattle Business makes an important contribution to the study of the ranching frontier and will continue to be of value to researchers and readers of western history, plains studies, and historical geography. With Contributions by: Sarah Carter Brian W. Dippie Warren M. Elofson Simon M. Evans Max Foran Terry G. Jordan-Bychkov Henry C. Klassen Lorain Lounsberry Alan B. McCullough Joy Oetelaar Richard W. Slatta Bill Yeo
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".