Bibliographic record
Abstract
<JATS1:p>This engaging collection of Native American profiles examines these individuals' unique life experiences within the larger context of U.S. history.</JATS1:p> <JATS1:p>Native Americans Today: A Biographical Dictionary focuses on the lives of contemporary Native Americans. Such treatments are rare, as most Native American biographies are historical (pre-1900) and cover familiar figures. Profiles collected here are written to be enjoyable as well as instructive, presented as examples of personal storytelling that should be savored not only for their factual content, but also for the humanity they evoke.</JATS1:p> <JATS1:p>The book spotlights Native American lives in the United States and Canada, mainly after 1900, though a few older figures are included because their lives evoke strikingly modern themes. The author, an expert on all things Native American, knows (or knew) several of the people in the entries, adding a special vibrancy to the writing. Among those profiled are former U.S. Senator Ben Nighthorse Campbell, activist Eloise Cobell, and controversial political prisoner Leonard Peltier, as well as writers, artists, and musicians. The compilation also includes non-Native Americans whose lives and careers impacted Indian life.</JATS1:p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".