Costs, CO2 Emissions, and Energy Balances of Applying Nordic Slash Recovery Methods in British Columbia
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
Abstract This study evaluated the costs, CO2 emissions, and energy balances associated with three potential systems for recovering roadside slash in British Columbia, Canada, in which the biomass is transported as slash, hog fuel, or bundles. Costs, CO2 emissions, and energy balances of all three systems showed strong dependence on transportation distance and considerably weaker dependence on slash amounts at landing (cutting block size). The results indicated that the hog fuel system is the cheapest, per unit of delivered biomass, whereas the bundle system is the most expensive system when transportation distances are short (<100 km), and the slash system is the most expensive when transportation distances exceed 100 km. However, the viability of the systems is strongly dependent on payload assumptions.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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