Bibliographic record
Abstract
This report summarizes the findings of the chemical and microbiological analysis of: 1. paper fibre biosolids generated by the Whitby paper recycling mill owned by Atlantic Packaging Ltd. and 2. Sound-Sorb, a product, comprised of an approximate 70:30 mixture of paper fibre biosolids to screened mineral soil. Paper fibre biosolids have been spread on agricultural land since 1991 under a Certificate of Approval issued to Atlantic Packaging Ltd. and Courtice Auto Wreckers Ltd. for an organic waste management system. Sound-Sorb is produced by Courtice Auto Wreckers Ltd. and is currently being used to construct sound and bullet attenuation berms at gun clubs in Ontario. Through the mixing of paper fibre biosolids with mineral soil, Sound-Sorb is exempt from the Ministry of Environment and Energy's waste management regulations and the Environmental Protection Act. Considerable concern has been raised by the public regarding the possible environmental effects of the land application of paper fibre biosolids and the use of Sound-Sorb. In response, the ministry is currently reviewing both the land application of paper fibre biosolids and the management of Sound-Sorb. The data provided in this report will contribute to the information used for deciding on the next steps in this review. Samples were taken from the Whitby mill of Atlantic Packaging and from the Sound-Sorb berm at the Oshawa Skeet and Gun Club in the Regional Municipality of Durham. Samples were analyzed for a large variety of inorganic and organic elements and compounds. Results for fresh Atlantic Packaging Ltd. paper fibre biosolids were compared to the Guidelines for the Utilization of Biosolids and Other Wastes on Agricultural Land. For parameters for which there are no biosolids standards, results were compare...
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.645 | 0.575 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".