La Chine à la conquête des ressources minières du Canada et de l’Arctique canadien ? Géographie de l’approvisionnement chinois dans le secteur du fer et de l’acier
Bibliographic record
Abstract
Poussée par une croissance économique rapide ces trente dernières années, la demande chinoise en minerai de fer a considérablement augmenté au cours de cette période. La montée en puissance de l’économie chinoise, son affirmation politique sur la scène mondiale, et sa diplomatie des ressources perçue comme agressive, ont contribué à développer une perception négative de la Chine au sein de l’opinion publique canadienne. La Chine, par l’entremise de ses entreprises, chercherait-elle à faire main basse sur les ressources minières de l’Arctique canadien ? Cet article vise à déterminer l’importance du territoire Arctique canadien, pour les entreprises chinoises dans le secteur du fer et de l’acier, dans le contexte de leur stratégie d’approvisionnement globale en minerai de fer.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".