Just transition in the northwest territories: Insights and values from indigenous and non-indigenous northerners
Bibliographic record
Abstract
Just transition means that society shares both tangible and intangible costs and benefits of transitioning to a low-carbon economy in a socially just way. Across Canada, Indigenous peoples are shouldering a disproportionate social and economic burden on non-renewable sources as well as transitioning to renewable sources of energy due to high costs, lack of appropriate technology to store excess power, and remoteness of the region. This study aims to promote the significance of Northern energy transition through Indigenous perspectives (technological-social) in advancing a low carbon future as an act of truth and reconciliation (2015) in the Northwest Territories (NWT). In the NWT successful progress for climate change issues have been made pre-Covid with a plurality of perspectives but there is room for an improved post-Covid process that requires an emphasis on the inclusion of Indigenous perspectives (technological-social) as equal to non-Indigenous perspectives (technological). Results identify three themes, which are Indigenous land ethos (Mother Earth relationality), community energy autonomy (informed leadership), and capacity training (humanizing outreach) as key drivers to future just transition in the Northwest Territories.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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 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".