Energy Use and GHG Emissions in the Quebec Pulp and Paper Industry, 1990–2006
Bibliographic record
Abstract
Greenhouse gas (GHG) emissions of the Quebec pulp and paper industry fell by more than 30 percent from 1990 to 2006. We use an energy demand model to analyze the contributions to this decrease of energy prices, product mix, technological change, and biomass use. The product mix is made of pulp, and cardboard, and paper. Pulp is an intermediate product for the industry, but not necessarily so for mills; vertical integration varies across mills and presents different opportunities to transfer heat between stages of production. Chemical and mechanical pulping processes are used to form two groups of pulp and paper mills. We find that changes of product mixes contributed the most to reduce GHG emissions, followed to a lesser extent by increases of fuel prices relative to electricity. The estimated electricity and fuel price elasticities are low. However it is still possible to significantly reduce GHG emissions by substituting natural gas for heavy fuel oil; such a substitution could be brought about by a small change of their relative price.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".