The development of a framework to assess waste and biomass availability: A case study for Canada
Bibliographic record
Abstract
Quantifying biomass and bioenergy potential is vital for a bio-based economy, particularly in Canada, where reducing greenhouse gas emissions and meeting energy demands are national priorities. This study developed a comprehensive biomass and waste feedstock inventory assessment framework and applied it to Canada. The analysis estimates the net available quantity of livestock manure, agricultural residue, municipal solid waste (MSW), biosolids , and forest residue that can be used sustainably without causing ecological harm. Competitive uses and potential losses are accounted to get realistic data with minimal uncertainty. Data for the most recent year were analyzed, and findings are represented using a geographic information system to map biomass sources. Results show Canada generates approximately 30, 28, 24, 21 and 7 million tonnes of dry manure, agricultural residue, MSW, forest residue, and biosolids, respectively, per year. This knowledge supports the development of targeted bioenergy strategies and policies based on biomass quantity and regional distribution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".