The Legend of Thanadelthur: Elders’ Oral History and Hudson’s Bay Company Journals
Bibliographic record
Abstract
This article introduces the legend of Thanadelthur, a Dene woman who had a profound impact on the Dene people in Northern Saskatchewan and Manitoba during the eighteenth century fur trade. Thanadelthur was instrumental in the negotiation of a peace treaty between the Dene and Cree, and in helping the Dene to build a trade relationship with the Hudson’s Bay Company. These actions helped to create new economic opportunities for Dene communities and a good life for Thanadelthur’s people. While Thanadelthur’s life is documented in scholarly works and Hudson’s Bay Company journals, those records do not tell the entire story. Thus, this article also recounts oral stories told by Elders and others in order to expand this legend to include the perspective of the Dene. In bringing together the reports from Dene oral historians, scholars, and other authors, this article outlines the remarkable events in Thanadelthur’s life in order to underscore her historical significance to our communities and Canada at large. This article is a chapter in the open textbook Indigenous Self-Determination through Mitho Pimachesowin (Ability to Make a Good Living), developed for the University of Saskatchewan course Indigenous Studies 410/810 and hosted by the Northern Review.Tthainaltth’er t’ą-u Cǫmpani Kǫę ha Dene chu, Ená chu ëƚëhela nį snį, t’a-u dahłëlghël nį-u; Ąƚnëdhi chu Cǫmpani Kǫę honį nįhenįla si diri bëghą honį sį. Dene ëƚëhela tl’ąghë tsádhedh k’ets’įdel nį. Tthainaltth’er Denesuline ha nįdhen-ú, la Dene ha horenįle hël, Dene doreƚti nįthen t’a Dene ts’įnį nį. Tthainaltth’ur bëghą honį ƚą, ëritƚ’is k’e tth’i hëla, ąƚnëdhi behonié tth’i ƚą sį. T’ą-u Tthainaltth’er huya, yanathë honį k’onį ha. Canada k’eyaghë náide si, Tthainaltth’er denegodhë helį kuli horįcha hołts’į nį; Dena ha.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".