Indigenous Linguistic and Cultural Revitalization in Canada: Toward the Demarginalization of Indigenous Narrative Voices and “Texts”
Bibliographic record
Abstract
ABSTRACT This article will briefly present the work of five intercultural mediators who have contributed actively to sharing knowledge between dominant and Indigenous groups in Canada—Robert Dickson (interlinguistic settler translator); Tompson Highway (Cree writer, (self-)translator, and dramatist); An Antane Kapesh (Innu writer); José Mailhot (interlinguistic settler translator); and Kent Monkman (Cree painter and (intra-)semiotic (self-)translator). While Highway and Dickson produce “minor” narrative texts, “minor” will also be applied to the field of the visual arts to discuss Kent Monkman’s use of Cree in certain works and his rewriting of canonical works of art. The article will examine the extent to which these five mediators are “(un)known” and their works have entered a transnational space. Furthermore, the article will analyze the relations of these mediators with their respective Indigenous, and English or French language(s) and culture(s). The case studies are aimed at adding to the literature on the narrative activities of members of minority cultures, which have managed to penetrate a global translation zone. The political dimension of intercultural mediation will also be briefly assessed. Finally, the interlinguistic translators of Kapesh’s essays and Highway’s novel will be considered as mediators for dominant culture recognition.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.039 | 0.021 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".