Remember This!: Dakota Decolonization and the Eli Taylor Narratives
Bibliographic record
Abstract
Situating Dakota language and oral tradition within the framework of decolonization, Remember This! Dakota Decolonization and the Eli Taylor Narratives makes a radical departure from other works in Indigenous history because it relies solely on Indigenous oral tradition for its primary sources and privileges Dakota language in the text. Waziyatawin Angela Wilson, both a historian and a member of the Dakota Nation, demonstrates the value of oral history in this bilingual presentation and skillful analysis of the stories told by the Dakota elder Eli Taylor (1908-99). Taylor lived on the Sioux Valley Reserve in Manitoba, Canada, and was adopted into Wilson's family in 1988. He agreed to tell her his story and to share his accounts of the origins, history, and life ways of the Dakotas. In these pages he tells of Dakota history, the United States-Dakota Conflict of 1862, Dakota values, and the mysterious powers of the world. Wilson gracefully contextualizes and complements Taylor's stories with a careful analysis and distillation of the narratives. Additionally, she provides an overview of Dakota history and a substantial critique of the use of oral accounts by mainstream historians. By placing Dakota oral tradition within the academic discipline of history, this powerful book illuminates the essential connections among Dakota language, history, and contemporary identity.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".