Adjusting to the Commodity-Price Boom: The Experiences of Four Industrialized Countries
Why this work is in the frame
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Bibliographic record
Abstract
Between 2002 and 2008, global commodity prices rose to unprecedented levels. This article examines the process of adjustment to the commodity boom in four industrialized, commodity-exporting countries (Australia, Canada, New Zealand, and Norway). The article focuses on both the direct adjustment within the commodity-producing sectors (via increased employment and capital spending) and the indirect adjustment in the macro economy. The analysis finds that the indirect adjustment process, which was triggered by the increase in incomes that the commodity-price boom generated, has been the most important part of the adjustment in all four economies. Through this channel, aggregate demand rose, exchange rates appreciated, and adjustment was facilitated in other sectors, such as manufacturing and construction.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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