Nature’s Northwest: The North Pacific Slope in the Twentieth Century
Bibliographic record
Abstract
Contents Years of "exuberant optimism" -- Reformers, radicals, and the new order -- War and peace : the politics of reaction -- Shaping a regional culture, 1900-1930 -- Descent into despair and war -- The great boom -- Remaking northwest landscapes -- Conflicted politics of environmentalism -- Culture works, 1930-2000. Summary "With an emphasis on the region's political economy, its environmental history, and its cultural and social heritage, this lively and colorful history of the Pacific Northwest--defined here as Oregon, Washington, Idaho, Montana, and southern British Columbia--places the narrative of this dynamic region within a national and international context. Embracing both Canadian and American stories in looking at the larger region, renowned historian William Robbins and Katrine Barber offer us a fascinating regional history through the lens of both the environment and society. Understanding the physical landscape of the greater Pacific Northwest--and the watersheds of the Columbia, Fraser, Snake, and Klamath rivers--sets the stage for understanding the development of the area. Examining how this landscape spawned sawmills, fish canneries, railroads, logging camps, agriculture, and shared immigrant and ethnic traditions reveals an intricate portrait of the twentieth-century Northwest." -- From publisher description.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".