Detoxifying Aboriginal Self-perception and Outward Identity with Buffy Sainte-Marie
Bibliographic record
Abstract
Academy-Award winning musician and activist Buffy Sainte-Marie speaks at the Simon Ortiz and Labriola Center Lecture on Indigenous Land, Culture and Community. Buffy shares stories from her musical career, grassroots activism, Sesame Street in the 1970's, and being censored by Lyndon Johnson for her stance against the Vietnam War. She talks about the difference in being in opposition with administrations vs. a country and touches on the challenges and importance of education. Sainte-Marie, a Canadian native, describes herself as a "natural musician," whose love for music and pictures began at the age of three. Over the years she has crossed many genres, including rock, pop, powwow and folk. Heavy industry hitters such as Elvis Presley, Neil Diamond, Janis Joplin and Chet Atkins have covered her songs. The Simon Ortiz and Labriola Center Lecture on Indigenous Land, Culture, and Community at Arizona State University addresses topics and issues across disciplines in the arts, humanities, sciences, and politics. Underscoring Indigenous American experiences and perspectives, this series seeks to create and celebrate knowledge that evolves from an inclusive Indigenous worldview and that is applicable to all walks of life. ASU Sponsors include: American Indian Policy Institute | American Indian Studies Program | Department of English | Faculty of History in the School of Historical, Philosophical, and Religious Studies | Indian Legal Program in the Sandra Day O'Connor College of Law | Labriola National American Indian Data Center | Women and Gender Studies in the School of Social Transformation. The Heard Museum is ASU's community partner. Introduction by Simon Ortiz Recorded Oct. 10, 2013 at the Heard Museum in Phoenix.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.231 | 0.007 |
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".