Bibliographic record
Abstract
This engaging collection of Native American profiles examines these individuals' unique life experiences within the larger context of U.S. history. 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. 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.
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 | 0.000 | 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 | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.128 | 0.042 |
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".