Global copper market hit by China's slowdown
Bibliographic record
Abstract
Subject Copper market. Significance Copper prices dropped by 11.7% in January due to aggressive shorting by Chinese hedge funds. In the following four months, the metal staged a recovery, only to lose 19% since mid-May, hitting a six-year low on August 26. Physical activity during the traditionally strong second quarter proved disappointing, with demand hit by China's economic slowdown and its declining copper demand. The production cuts recently announced by Glencore have given some relief to the market. Impacts Molybdenum (a by-product from copper mines) prices fell by 15% in the second quarter, pressuring producers' margins further. Botswana will defer for one year the payment of a royalty tax, aiming at job preservation and miners' support. Vedanta's Zambian smelter's imports of copper feed from Chile will link the two copper centres for the first time.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".