Greenhouse Gas Mitigation and Management Strategies for Methane Reduction from Waste in Victoria, British Columbia, Canada.
Bibliographic record
Abstract
AbstractThis study evaluated greenhouse-gas mitigation and management strategies to reduce methane emissions from waste recycling activities in Victoria, British Columbia. Using a mixed-methods approach that included a literature review, material-flow modelling, and stakeholder policy analysis focused on municipal programs, the study identified the technical, behavioural, and policy interventions that are most effective in limiting methane generation across waste streams. Methane production, flaring, emissions, oxidation and the decay constant from biosolids placed into the Hartland Landfill was estimated. In order to maintain long-term methane mitigation, a helpful road map for local decision-makers is suggested including rapidly increasing organics diversion and anaerobic digestion with energy recovery where feasible, enhancing landfill gas capture at the remaining disposal sites and investing in public engagement, monitoring, and contamination control. Keywords: Methane Emissions, Anaerobic Digestion, Methane Mitigation, Waste Recycling.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".