Bibliographic record
Abstract
The BC Ministry of Sustainable Resource Management (BCMSRM), is undertaking a program of environmental remediation at the Britannia Mine site, located 45km north of Vancouver, BC. The Britannia Mine operated for around 70 years and produced mainly copper and zinc concentrates. During its operating life, and since its closure in 1974, the mine has discharged large volumes of acidic water, elevated in metals toxic to aquatic life, including copper, zinc and cadmium. Metal loadings to Howe Sound are estimated at an average of around 300kg/day each of copper and zinc. Using funding derived from the former mine owners and operators, the BCMSRM (the Province) developed a remedial concept based around using the mine workings as a storage reservoir to balance seasonal flows to a water treatment plant prior to discharge to Howe Sound. In addition to the acid rock drainage (ARD) from the mine, various mine infrastructure and mineral processing activities across the extensive mine site have resulted in the presence of many secondary sources of metal contamination of soils, groundwater and surface water. To date (July, 2003), the major investigation phase of the project has been completed and remedial planning and implementation commenced in early-2003.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.133 | 0.024 |
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".