Zeziikizit Kchinchinaabe: A Relational Understanding of Anishinaabemowin History
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
abstract: Relationships are the heart of Anishinaabeg culture and language. This research proposes understanding Anishinaabemowin, the language of Ojibwe, Ottawa, and Potawatomi peoples, as a living, historical, and spiritual member of the cultural community. As a community member, the language is the Oldest Elder. This understanding provides a relational lens through which one can understand language history from an Indigenous perspective. Recent scholarship on Indigenous languages often focuses on the boarding school experiences or shapes the narrative in terms of language loss. A relational understanding explores the language in terms of connections. This dissertation argues that the strength of language programs is dependent on the strength of reciprocal relationships between the individuals and institutions involved. This research examines the history of Anishinaabemowin classes and programs at three higher educational institutions: Bemidji State University, University of Michigan, and Central Michigan University. At each institution, the advocates and allies of Oldest Elder fought and struggled to carve space for American Indian people and the language. Key relationships between advocates and allies in the American Indian and academic communities found ways to bring Oldest Elder into the classroom. When the relationships were healthy, Oldest Elder thrived, but when the relationships shifted or weakened, so did Oldest Elder's presence. This dissertation offers a construct for understanding Indigenous language efforts that can be utilized by others engaged in language revitalization. The narrative of Oldest Elder shifts the conversation from one of loss to one of possibilities and responsibilities.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it