Tailings Disposal Challenges and Prospects for Oil Sands Mining Operations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The tailings produced from using water to extract the bitumen from oil sands operations in Alberta, Canada, are deposited in ponds behind dykes. Several types of tailings accumulate in large ponds, including coarse tailings and fluid fine tailings generated from the main extraction processes, and froth treatment tailings generated when bitumen is cleaned. These ponds pose significant geotechnical and geo-environmental challenges during tailings disposal and for site reclamation. The main concerns are related to the slow consolidation and slow strength gain of tailings, the quantity, quality and fate of process-affected water, and the long term safety of dykes. This article recalls and discusses some of the key challenges related to tailings management technologies and identifies some prospects for the future, based on the main observations from a report recently produced by an expert panel for the council of Canadian academies.
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.
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 it