Indigenous Toponyms as Pedagogical Tools: Reflections from Research with Tl’azt’en Nation, British Columbia
Bibliographic record
Abstract
Apart from conventional understandings of its utilitarian function as spatial la-bels (often eponymous in character), toponymy is seldom appreciated as pal-impsest or for the layers of meaning it assumes, conveyed in place-name ety-mologies and local knowledge associated with the named places. Over the years, a growing body of literature has emerged on the use of toponymy in sev-eral research fields: the range spans from linguistic investigations into place-names and naming practices to the use of place-names in tracking environmen-tal change, locating places of archaeological interest, and understanding the knowledge possessed by local communities about the natural environment. The latter focus describes place-names research with Tl’azt’en Nation, the dakelh-speaking people whose territory lies in the Stuart-Trembleur watershed of central British Columbia, Canada. From the perspective that indigenous place-names communicate knowledge about the natural world, indigenous language and (oral) history, this paper will draw upon examples of dakelh place-names to demonstrate the value of indigenous toponymy in education.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".