Assessing re-establishment of functional forest ecosystems on reclaimed oil sands mine lands
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
Oil sands mining in Northeastern Alberta occurs on a predominantly forested boreal landscape, across tens of thousands of hectares. One of the fundamental end goals of oil sands mine reclamation and closure is the re-establishment on this landscape of functional forested ecosystems, and the end land uses that these ecosystems support (i.e., commercial forestry, traditional use, wildlife habitat, recreation). Such reestablishment relies on the generation and refinement of knowledge on the requisite factors for successful forest development on reclaimed lands, and on the ability to make informed projections of future forest characteristics based on current conditions. Some of this knowledge development occurs through the Cumulative Environmental Management Association's Reclamation Working Group (RWG), a multistakeholder organisation with members from government, industry, regulatory bodies, environmental groups and Aboriginal groups, which is tasked with developing frameworks and guidance documents containing recommendations regarding mine reclamation practices in the oil sands region.
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) | 0.002 | 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