Language-in-education policies and Indigenous language revitalization efforts in Canada: Considerations for non-dominant language education in the Global South
Bibliographic record
Abstract
Indigenous languages are struggling for breath in the Global North. In Canada, Indigenous language medium schools and early childhood programs remain independent and marginalized. Despite government commitments, there is little support for Indigenous language-in-education policy and initiatives. This article describes an inaugural, country-wide, federally-funded, Indigenous-led language revitalization research project, entitled NE?OL?EW? (one mind-one people). The project brings together nine Indigenous partners to build a country-wide network and momentum to pressure multi-levels of government to honour agreements enshrining the right of children to learn their Indigenous language. The project is documenting approaches to create new Indigenous language speakers, focusing on adult language learners able to keep the language vibrant and teach their language to children. The article reflects upon how this Northern emphasis on Indigenous language revitalization and country-wide networking initiative is relevant to mother tongue-based education and policy examples in the Global South. The article underscores the need for both community level initiatives (top-down) and government level policy and funding (bottom up) to support child and adult Indigenous language learning.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".