The River That Made Seattle: A Human and Natural History of the Duwamish. By BJ Cummings
Bibliographic record
Abstract
Seattle’s environmental history is having a moment. Since 2006, no less than seven books have historicized its animals, hinterlands, Indigenous landscapes, parks, protests, and waterways. Aside from Coll Thrush’s Native Seattle (Seattle, 2007), however, little explains how particular communities experienced environmental change. Activist BJ Cummings seeks to fill this lacuna by tracing the fate of nature and people along the lower Duwamish River, a tiny but massively changed stream. The River That Made Seattle is a fine-grained study of how the Doo-Ahbsh (now Duwamish Tribe) and their neighbors endured multiple environmental disruptions. Cummings seeks clarity, but this muddy river only produces muddy tales. The book’s first half explains how treaty councils obtained Native lands, ignited warfare, and enabled industrialization. Many Doo-Ahbsh resisted colonial displacement, but when their rebellion failed, they lost their claim to a separate reservation. Surviving families had to enroll in other tribal reservations or intermarry and homestead along the river. When industrialization straightened the Duwamish for shipping and manufacturing, toxic byproducts seeped into the ground, water, animals, and humans. Much of this story is documented more ably by Alexandra Harmon, Matthew Klingle, Corey Larson, Jennifer Ott, Lissa Wadewitz, David Williams, and Thrush, but Cummings’s use of Doo-Ahbsh family histories deepens our understanding of how Indigenous people persisted in place.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".