The Québec Ministry of Natural Resources Uses Linear Programming to Understand the Wood-Fiber Market
Why this work is in the frame
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Bibliographic record
Abstract
In spring 1996, Québec's Ministry of Natural Resources began using a descriptive mathematical programming model to support various negotiations in the wood-fiber markets. The model, which uses linear programming to solve an economic-equilibrium program, allows the representative of the ministry to come to industry roundtables with accurate scenario analyses for the wood-fiber market. The tool we developed and implemented uses the large amounts of data available to government agencies to foresee and explain the general economic trends facing both lumber and paper producers. During its development, our team of operations-research experts, economists, engineers, and civil servants developed an unprecedented understanding of the wood-fiber market. The ministry incorporated these insights in subsequent government policy aimed at improving sawmill yield and stabilizing market behavior.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it