Aligning Energy Development with the Interests of Aboriginal Peoples in Canada
Bibliographic record
Abstract
Canada’s economic future is dependent upon energy and natural resource development, and has therefore become inextricably linked to the rights and interests of Canada’s Aboriginal peoples. These rights and interests include the desire to continue with their traditional ways of livelihood, to protect their many cultures and the environment, the need to foster healthy and thriving communities, and the opportunity to participate in and benefit from development on their traditional lands. In Canada, the rights of Aboriginal people are constitutionally protected. However, despite considerable advancements in domestic law on consultation and accommodation, growing unrest and dissatisfaction among Canada’s Aboriginal peoples prevails.Significant progress in international human rights law and international norms lend support to Indigenous aspirations and are creating pressure on energy and natural resource developers to embrace change and move beyond the consultation requirements under domestic law to obtaining the consent of Aboriginal communities to development on their traditional lands. This article posits that the willingness of Aboriginal communities to constructively engage with industry and consent to natural resource and energy development on their traditional lands can be facilitated by aligning the interests of the affected Aboriginal communities with those of project proponents through the proactive creation of thoughtful and innovative commercial relationships. These relationships can be structured to create value for the proponent while providing meaningful economic participation for the affected Aboriginal community by utilizing a combination of passive resource revenues, employment and procurement opportunities and direct equity participation in the development.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.008 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".