Working together: a reciprocal wood flow arrangement to mitigate the economic impacts of natural disturbance
Bibliographic record
Abstract
This study investigates the regional economic impacts resulting from the current mountain pine beetle infestation in British Columbia, Canada, and proposes a mitigation strategy to reduce the negative impacts. The strategy consists of reducing the abrupt timber supply changes in an infested region through a reciprocal wood flow arrangement with an adjacent region less affected by the beetle. Two study areas facing different levels of beetle pressure are investigated: the Quesnel Timber Supply Area (high beetle pressure) and the combined Williams Lake/100 Mile House Timber Supply Area (low beetle pressure). A computable general equilibrium model is constructed for each region and is used to simulate the sensitivity of a suite of economic indicators to various timber supply scenarios for both regions. The results indicate that the negative economic impacts attributed to beetle damage could be reduced under a reciprocal wood flow agreement between the two regions. The degree to which the impacts are reduced in each region depends largely on assumptions about forest regeneration and growth and the terms of the reciprocal wood flow agreement.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.002 | 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 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".