The Grand Old Duke of York; Present-Day and Future Canadian Geoscience Education and Labour Market Trends
Bibliographic record
Abstract
The job market for Canadian earth scientists is significantly driven by the country’s strong resource industry. Enrolment in earth science degree programs is growing, but the demand from the job market is expected to outpace the projected supply from domestic programs. If the job market will indeed need as many workers as predicted, it will be necessary to change tactics for recruitment into Canadian university programs, in order to provide the market with the necessary workers. SOMMAIRE Le marche du travail canadien en sciences de la Terre est particulierement a l’importante industrie primaire du pays. Le nombre des inscriptions a des programmes de diplomation en sciences de Terre est en croissance, mais on s’attend a ce que la demande du marche du travail depasse l'offre projetee des programmes nationaux de formation. Si les besoins de l’emploi s’averent, il faudra qu’on change de tactique de recrutement dans les universites canadiennes pour les programmes geosciences, pour repondre a la demande.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.003 |
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".