Kina’muanej Knjanjiji’naq mut ntakotmnew tli’lnu’ltik (In the Foreign Language, Let us Teach our Children not to be Ashamed of Being Mi’kmaq)
Bibliographic record
Abstract
Colonialism has assimilated and suppressed Indigenous languages across Turtle Island ( North America). A resurgence of language is needed for First Nation learners and educators and this resurgence is required if Indigenous people are going to revitalize, recover and reclaim Indigenous languages. The existing actions occurring within Indigenous communities contributing to language resurgence include immersion schools. Eskasoni First Nation opened its doors in September 2015 to a full immersion school separate from the English speaking educational centers. This move follows the introduction of Mi'kmaq immersion over ten years earlier within the English speaking school in the community. The Mi’kmaw immersion school includes the Ta’n L’nuey Etl-mawlukwatmumk Mi’kmaw Curriculum Development Centre that assists educators in translating educational curriculum from the dominant English language to Mi’kmaq. In this paper, stories are shared about the Eskasoni immersion program’s actions towards language resurgence through a desire-based lens, based on rich narratives from three Mi’kmaw immersion educators.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".