Indigenous Knowledges, Representations of Indigenous Peoples on the Internet, and Pedagogies in a Case Study in Education: Questioning Using the Web to Teach About Indigenous Peoples
Bibliographic record
Abstract
This paper examines pedagogical issues in uses of the Internet in educational settings by student-teachers, teachers, and their students as it relates to Indigenous peoples. The paper begins with a discussion of lndigenous knowledges followed by discussions of a website called "Exploring Nunavut" which is critiqued through decolonizing theory, Indigenous knowledges, and cultural studies. The paper then presents a case study in which the Internet is used to stimulate discussions of culture in a grade 3/4 classroom. The analysis of the story demonstrates the ways that the Internet texts are taken up through dominant discourses which are presented in the website. The paper demonstrates the complexity of educational practices in discussions of Indigenous peoples, the Internet, and education.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".