Assessing reclamation ready tailings materials using outdoor terrestrial mesocosms
Bibliographic record
Abstract
Current challenges in oil sands mine closure include the integration of tailings into reclaimed landscapes to ensure that materials are geotechnically stable; have acceptable soil; water and run-off quality; permit soil development consistent with regional soils; and, have ecological aspects of form and function consistent with the boreal forest. Infrastructure available in Alberta to facilitate feasible, controlled and replicated testing of tailings materials under realistic climate, environmental and exposure conditions is lacking. The Terrestrial Mesocosm Facility was designed to provide a relevant venue for testing engineered ecosystems, such as reconstructed soils. Mesocosms can include sufficient biotic and abiotic components to confer stability under replicated and controlled conditions; experiments can be conducted on time frames ranging from months to years. The facility represents an integrative scientific approach for investigating ecological and environmental systems by utilizing both laboratory and field data to develop complex assessments of indirect and synergistic ecosystem responses. Simultaneous testing of different scenarios can be completed as a feasible first step in identifying reclamation strategies to implement on-site; associated long-term monitoring may provide valuable information necessary for determining upland vegetation establishment success. This paper introduces a tool for testing tailings for reclamation planning and environmental effects assessment.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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".