Debbie Folaron discusses the role of language and translation in endangered Aboriginal communities (Cree, Naskapi, Innu) with Julie Brittain and Marguerite MacKenzie
Bibliographic record
Abstract
According to the 2011 Census of Population conducted and published by Statistics Canada, there are over 60 Aboriginal languages grouped into 12 distinct language families in Canada. Approximately 213,500 people reported an Aboriginal mother tongue and nearly 213,400 people reported speaking an Aboriginal language most often or regularly at home. The Aboriginal language family with the largest number of people was Algonquian, and the ones most often reported were Cree languages, Ojibway, Innu/Montagnais and Oji-Cree. Three Aboriginal languages - the Cree languages, Inuktitut and Ojibway- accounted for almost two-thirds of the population having an Aboriginal language as mother tongue. These facts are examined in preliminary notes preceding an interview, in which Julie Brittain and Marguerite MacKenzie discuss the roles of language and translation in the Cree, Naskapi, and Innu communities with whom they work.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".