The Contribution of Métis To Future Labour Force Growth In Canada
Bibliographic record
Abstract
This report contributes to the debate on the role of Aboriginal people in the Canadian long-term economic growth by projecting the contribution of Metis people to future labour force growth in Canada as a whole and across regions under various projection scenarios. Based on our projections for the Metis labour force over the period 2011-2036, we find that the contribution of Metis to the total Canadian labour force is significant given their 1.2 per cent share in the total working age population in Canada. In our baseline scenario, the Metis people is projected to account for 6.4 per cent of total labour force growth. The Metis contribution is especially large in the regions with which the Metis has historical ties: namely the Prairie provinces and the Northern region. The contribution in these jurisdictions ranges from 11.8 per cent to 17.0 per cent. We find that the role of ethnic mobility is especially important for the Metis population growth. If we assume no ethnic mobility, the Metis contribution is projected to be 1.9 per cent of the total labour force growth in Canada. Nevertheless, this is still greater than the Metis share in the Canadian working age population in 2011.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".