Chelsey Luger named Native Nation Rebuilder
Bibliographic record
Abstract
The Bush Foundation’s Native Nation Rebuilders Program has named its rebuilders for 2015. Chelsey Luger of Grand Forks has been named among these rebuilders. Luger is a project coordinator for the Seven Generations Center of Excellence within the Center for Rural Health at the University of North Dakota School of Medicine and Health Sciences. Each year, the Bush Foundation selects a cohort of approximately 30 Rebuilders to participate in a two-year program. This is the sixth cohort of Rebuilders. In the first year, the Bush Foundation and its partner, the Native Nations Institute, provide access to ideas and information, expanded networks, leadership training and other resources for nation building. In the second year, Rebuilders use the tools and skills to implement action plans in which they engage in practical nation-building projects within their communities. Rebuilders are chosen through a selection committee composed of individuals with expertise in nation building. The committee evaluates each Rebuilder candidate according to his or her commitment to Native self-governance, knowledge of the issues facing his or her nation, and potential to help his or her nation. Luger is an advocate for Indigenous health and wellness. She is Ojibwe (Turtle Mountain Band of Chippewa) and Lakota (Standing Rock Sioux Tribe and Cheyenne River Sioux Tribe). Luger grew up in Fort Yates and Grand Forks, North Dakota. She has a BA in Native American studies and history from Dartmouth College, and her master's in journalism from Columbia University. She is currently working on designing an information source and online community for young Native people who are committed to decolonizing foods and Indigenizing fitness.
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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 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.200 | 0.036 |
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".