An Analysis of the Discourse Function of Saulteaux/mi-/ As Exemplified In A Traditional Cote First Nation Teaching Text
Bibliographic record
Abstract
This thesis has a three-fold purpose. First it presents a Saulteaux narrative collected from a Saskatchewan reserve, Cote First Nation, transcribed, translated and analyzed linguistically. Saulteaux, the Plains dialect of Ojibwe, is spoken in the southern half of Saskatchewan and in Manitoba. The dialect studied in this thesis is the dialect that is spoken in the Kamsack area. Second, the thesis focuses on the use and function of the discourse particle /mi-/ in Saulteaux text structure. Following an introduction to the main thesis topic, a cross-dialectal survey of this discourse particle in Ojibwe, both its morphosyntactic form and word order, sets the background for a discussion of the form, function and occurrence of /mi-/ in the Saulteaux dialect of Cote First Nation. Third, the linguistic analysis is followed by a lesson plan and discussion of the means and importance for teaching this and other discourse particles and structures of the Saulteaux language in its basic communicative context. This is provided specifically for speakers of Saulteaux and others interested in teaching and preserving the language. This thesis will provide materials that can be utilized in teaching both children and adults the Saulteaux language along with the history, beliefs, traditions and customs of the Saulteaux people through traditional narratives.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".