Sustainable Operations through Collaborative Initiatives with Local Indigenous Communities: Case Studies in North America
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
Abstract A global energy technology company has empowered its local teams to prioritize environmental and social initiatives that bring the most benefit to local stakeholders. This paper describes case studies from North American collaborative initiatives with Indigenous communities to encourage participation in the workforce and develop inclusive environmental, sustainability, and educational programs. Strengthening collaborative relationships with Indigenous communities has increased employment and opened business development opportunities for those communities, provided a more culturally diverse workforce for the energy technology company, and assisted the community in achieving their priorities using digital technology. The global energy technology company's local teams set objectives and developed programs with local Indigenous communities. In the United States, a customized training and workforce development program was created to provide local candidates with firsthand experience of working on the Alaska North Slope. In Canada, business development opportunities and Indigenous needs were analyzed to create unique business synergies. An environmental recycling project in Canada has provided business development opportunities to a local area Indigenous community. Rubber components that were once sent to landfills are now donated to an Indigenous-owned business to be recycled into new rubber industrial items to be sold locally. Another initiative described in the paper focuses on finding a solution for a community's inability to consistently access clean water and used digital technology to solve water imbalance issues in the community's water treatment plant. The energy technology company provided educational scholarships for the community's water treatment plant employees, in addition to software licenses and training to use company process simulation software and 3D modeling technology. This collaborative effort has helped the community achieve its priority to obtain consistent access to clean drinking water through its water treatment facility. The initiative has been presented at local water conferences.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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