Bibliographic record
Abstract
"I walked across the highway and stood on the bank overlooking Lake Roosevelt. My attention was directed to the area where Kettle Falls once flowed. As I stood there the wind came. As I listened I imagined that it talked to me. It seemed that it was telling me of how things once were. I began to think of friends and relatives who were no longer living. They began to appear before me, perched on the large rocks, fishing for the great salmon." In his distinctive voice, Lawney Reyes, grandson of Pic Ah Kelowna or White Grizzly Bear of the Sin Aikst, relates the history of his family and his people. The Sin Aikst are now known as the Lakes tribe, absorbed into the Colville Confederated Tribes of eastern Washington. And where Kettle Falls once flowed and the Sin Aikst once fished are places that exist now only in memory, flooded when the Grand Coulee Dam was completed in 1942. Reyes uses personal and family history to explore the larger forces that have confronted all Native Americans: displacement, acculturation, and the potent force of self-renewal. The son of a Filipino immigrant and a mother who traced her ancestry to the earliest known leaders of the Sin Aikst, Reyes paints a vivid picture of his early life in the Indian village of Inchelium, destroyed by the building of the dam. Reyes describes the loss of homeland and traditional ways of life, the scarcities that followed, and the experiences of a court-ordered Indian boarding school in Oregon. These well-known facts of loss and injustice take on a compelling dimension in Reyes’s blend of history and autobiography, brought to life by the vivid images and personalities he describes. Despite the loss of heritage beneath the waters of the Columbia River and the flood of white acculturation, Reyes and his younger brother, the late Native American leader Bernie Whitebear, were able to fashion rich lives in a changed world, lives that honor the past while engaging with the present.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 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".