Bibliographic record
Abstract
"Bunky Echo-Hawk was born in 1975 in Toppenish, Washington. While he is an enrolled member of the Yakima Nation of Washington State, he likes to point out that his heritage also descends from the Pawnee Nation of Oklahoma. A graduate of the Institute of American Indian Arts in Santa Fe, Echo-Hawk is a visual artist, graphic designer, photographer, writer and nonprofit professional-as well as a traditional singer and dancer. Echo-Hawk endeavors to employ art as a means to advance the lives of Native American people. He defines himself as a "proACTIVE ARTist," whose goal is to "truly exemplify the current state of Native America." By merging popular culture with Native customs, Echo-Hawk's art also challenges assumptions and notions about American Indians and the issues that affect them. Echo-Hawk's work has been exhibited through the United States, including New York; Chicago; Washington, DC; Denver; and Santa Fe. Internationally his works have been shown in Frankfurt, Germany, and London, England. A co-founder of Vision (a nonprofit collective of Native American artists, musicians, community organizers, and nonprofit professionals focusing on Native American youth empowerment through multimedia arts), Echo-Hawk currently serves as its executive director." Source: Storytelling Time: Native North American Art from the Collections At the University Of North Dakota, pg. 234. Arthur Jones-Lucy Ganje-Joseph Bull - University Of North Dakota Art Collections - 2010
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.130 | 0.022 |
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".