Commodity Markets Outlook, April 2021 : Causes and Consequences of Metal Price Shocks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Commodity prices continued to recover in the first quarter of 2021 from lows reached in 2020, supported by the global economic recovery, improved growth prospects, and supply factors specific to crude oil, copper, and some food commodities. Looking ahead, oil prices are forecast to average $56/bbl in 2021, 36 percent higher than in 2020, and see a further rise to $60/bbl in 2022 as demand continues to recover. Metal prices are expected to average 30 percent higher in 2021 than in 2020 on the back of strong demand before dropping back somewhat in 2022. Agriculture prices are forecast to average nearly 14 percent higher in 2021, driven by a few food commodities, and are expected to stabilize thereafter. A Special Focus section examines the impact of metal price shocks on metal-exporting countries. Since global metal prices are predominantly driven by global demand shocks, metal price swings can amplify the impact of global downturns and recessions—or conversely, upturns—for metal exporters. Metal price jumps are associated with small, temporary gains from price increases for metal exporters, but metal price collapses tend to lead to larger, and longerlasting, output losses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it