Keeping the Campfires Going: Native Women's Activism in Urban Communities
Bibliographic record
Abstract
Acknowledgments Introduction-Susan Applegate Krouse and Heather A. Howard 1. Urban Clan Mothers: Key Households in Cities-Susan Lobo 2. Gender and Community Organization Leadership in the Chicago Indian Community-Anne Terry Straus and Debra Valentino 3. Indigenous Agendas and Activist Genders: Chicago's American Indian Center, Social Welfare, and Native American Women's Urban Leadership-Grant Arndt 4. Assisting Our Own: Urban Migration, Self-Governance, and Native Women's Organizing in Thunder Bay, Ontario, 1972-Nancy Janovicek 5. Their Spirits Live within Us: Aboriginal Women in Downtown Eastside Vancouver Emerging into Visibility-Dara Culhane 6. How Will I Sew My Baskets?: Women Vendors, Market Art, and Incipient Political Activism in Anchorage, Alaska-Molly Lee 7. Women's Class Strategies as Activism in Native Community Building in Toronto, 1950-1975-Heather A. Howard 8. Creating Change, Reclaiming Space in Post-World War II Seattle: The American Indian Women's Service League and the Seattle Indian Center, 1958-Mary C. Wright 9. What Came Out of the Takeovers: Women's Activism and the Indian Community School of Milwaukee-Susan Applegate Krouse 10. Telling Paula Starr: Native American Woman as Urban Indian Icon-Joan Weibel-Orlando Contributors Index [Grant Arndt studied cultural anthropology at the University of Chicago and now teaches anthropology and American Indian studies at Iowa State University / Dara Culhane is an associate professor of anthropology at Simon Fraser University / Heather A. Howard is assistant professor of anthropology at Michigan State University and holds a status appointment / Nancy Janovicek is assistant professor in the Department of History at the University of Calgary / Susan Applegate Krouse (Oklahoma Cherokee) is associate professor of anthropology and director of the American Indian Studies Program at Michigan State University / Molly Lee retired in 2008 from her positions as curator of ethnology at the University of Alaska Museum of the North and as Professor of anthropology at the University of Alaska, Fairbanks / Susan Lobo is a cultural anthropologist who has worked for years with Indian community-based nonprofits. She has taught at the University of California at Berkeley and at Davis, at Merritt College, and at the University of Arizona. She is currently a distinguished visiting scholar in American Indian Studies at the University of Arizona / Anne Terry Straus retired from the University of Chicago, where she taught and practiced action anthropology, focusing on the Chicago American Indian community / Joan Weibel-Orlando is a recent emerita professor from the Department of Anthropology at the University of Southern California / Mary C. Wright teaches in American Indian studies at the University of Washington]
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".