Effects on the Perceptions of Language Importance in Canada’s Urban Indigenous Peoples
Why this work is in the frame
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Bibliographic record
Abstract
The following analysis utilizes data drawn from the 2012 Aboriginal Peoples Survey (APS) to examine the effects of age, sex, education, household type, and exposure to Indigenous[1] language inside the home and outside the home on the perceived importance of Indigenous language for Indigenous people living in urban centres across Canada. The results of the regression analysis indicate that “exposure to Indigenous language inside the home” and “exposure to Indigenous language outside the home” is directly related to how important Indigenous language is perceived by urban Indigenous peoples.[1] Statistics Canada and the Government of Canada utilize the term “Aboriginal” to identify First Nations, Metis, and Inuit peoples. The author has chosen to use “Indigenous”, a term that communicates the quality of being original in land and place.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it