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Record W4322393013 · doi:10.1353/gpq.2022.0024

Making a Difference: My Fight for Native Rights and Social Justice by Ada Deer

2022· article· en· W4322393013 on OpenAlexaboutno aff
Allyson Stevenson

Bibliographic record

VenueGreat plains quarterly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPoliticsEconomic JusticeColonialismSovereigntySociologyFourth WorldLawGender studiesEthnologyPolitical scienceHistoryCriminology

Abstract

fetched live from OpenAlex

Reviewed by: Making a Difference: My Fight for Native Rights and Social Justice by Ada Deer Allyson Stevenson Making a Difference: My Fight for Native Rights and Social Justice. By Ada Deer, with Theda Perdue. Foreword by Charles Wilkinson. Norman: University of Oklahoma Press, 2019. ix + 189 pp. Illustrations, index. $26.95 cloth. Scholars interested in the twentieth-century history of Native American political activism will find the autobiography of Ada Deer essential reading. Making a Difference covers a critical period in the modern struggle for tribal sovereignty. Ada Deer, a Menominee woman, played a valuable role in restoring her community's lands and tribal sovereignty after termination, as well as in protecting tribal interests at the national level. As she narrates her life, reflects on her familial and tribal influences while evaluating her legacy, Deer presents readers with the opportunity to witness the exceptional contribution of a highly educated and dynamic Menominee activist. I happened to read Making a Difference immediately after completing Brenda Child's Holding Our World Together: Ojibwe Women and the Survival of Community (2013). Despite the differences in approach, and tribal affiliation, both books contribute to a growing field that increasingly centers Indigenous women's unacknowledged roles in preserving communities, culture, and families. Whether as exceptional individuals as in the case of Deer, or as mothers, grandmothers, and cultural knowledge holders, Native American women have sustained and continue to sustain connections to lands, languages, and bodies of knowledge that have undergone continued assault from colonial times onward. Growing up in poverty on the beautiful Menominee reservation, but nevertheless provided a deep sense of social justice from her non-Native American mother, Ada Deer's pursuit of Native rights stems from her commitment to Native American sovereignty promised in the treaties with the United States government. Assisted by historian Theda Perdue, Ada Deer's autobiography spans the period from her birth in 1935 and early years on the Menominee reservation in Wisconsin, through her successful role in advocating for restoration of the Menominee's lands and tribal status, and concludes with her time in Washington, DC, as assistant secretary of the Interior for Indian Affairs during the Clinton administration. Throughout the book, we are privy to Ada's reflections and we witness her driving ambition to see Native American tribes, systems of governance, and economies be restored through a relationship to the government based on recognition of Native American sovereignty and self-determination. For readers, it would be helpful to have appendices that include the treaty documents that enshrine the Menominee rights. In addition, as much of her politization stems from the Menominee termination, the book would also benefit from having both the termination acts and restoration acts likewise included for those [End Page 265] interested. Finally, in situating the Menominee people in their tribal homelands, maps to accompany this work would provide the reader with the geographical context that provides much of the specificity of the Menominee tribe's homeland. Allyson Stevenson Department of Indigenous Studies University of Saskatchewan, Saskatoon Copyright © 2023 Center for Great Plains Studies, University of Nebraska–Lincoln

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.300
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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