Reimagining energy in the Canadian boreal zone: policy needs to facilitate a successful transition to a low-carbon energy future<sup>1</sup>
Bibliographic record
Abstract
Canada will be unable to meet its greenhouse gas pledges—of reducing greenhouse gas emissions by 30% over 2005 levels by 2030—without transitioning away from the current high-carbon economy. This transition will bring new challenges, especially to the Canadian boreal zone. The boreal zone continues to experience intensive natural resource activities including the extraction of forest, mining, oil and gas, and renewable energy products, which in combination with climate change, is placing the future sustainability of the boreal zone at risk. We explored policy options to reduce the risk to the future sustainability of the boreal zone in light of the inevitable energy transition to either a higher or a lower dependence on carbon and the uncertainty of society’s capacity to adapt to change. Current policies are putting us on a path towards failure to achieve sustainability of the boreal zone. While current policies may be moving us towards a low-carbon future, they lack a shared vision of what the energy transition will be and engagement by those members of society most impacted; they are top-down, prescriptive, and fragmented, and they lack capacity, accountability, and enforcement. Together these limitations create barriers to society’s capacity to adapt to the low-carbon future. Sustainability of the boreal zone will not only require a transition to a low-carbon economy but will require policies that overcome these barriers and create a higher capacity for society to adapt.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".