Labour Market Prospects for the Métis in the Canadian Mining Industry
Bibliographic record
Abstract
The objective of this report is to review the prospects for Métis employment in the mining industry brought upon by a looming wave of retirements; to determine potential barriers to Métis employment in the mining industry; and to identify actions and strategies that the Métis National Council (MNC) and Métis Aboriginal Skills and Employment Training Strategy (ASETS) agreement holders should adopt to take advantage of and overcome obstacles to employment opportunities in the mining industry. The Canadian mining industry accounted for somewhere between two and five per cent of nominal GDP in Canada – depending on which definition of the mining industry is used – in 2008. This industry, concentrated in rural and remote locations, represents an important potential source of employment for the comparatively large youthful and rural Métis population entering the labour market in the coming decades. The mining industry has unique locational dynamics and hiring practices, a highly productive and experienced but aging work force, and growth prospects that are heavily reliant on global demand. Skilled workers are needed to replace the mining industry’s soon-to-be-retired baby boomers and to replace other workers leaving the industry. The Métis have unique demographic
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 | 0.003 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".