Time to change the focus of the conversation between First Nations and mining companies, from a positional based approach to an interest based approach
Bibliographic record
Abstract
Due to the growing interest of resource extraction in Northern British Columbia, specifically in the mining industry, Canada is poised to benefit with an increase in mineral exports while leaving the First Nations people where the resources are being extracted from, living in poverty like conditions. Many of the First Nations communities are located in remote regions and are experiencing socio economic conditions that are hindering their community's growth. Even though efforts to include the First Nations people are steadily improving however the research indicates that the focus of the conversation is limiting the potential of the opportunity to utilize the extraction of resources to reverse the effects in First Nation communities. Therefore, the purpose of this paper is to examine the literature of mining proponents who support the involvement of First Nations communities in extraction activities to learn why this approach afforded the First Nations the tools to reverse the social and economic conditions while maintaining their role as stewards of the land. --Leaf 2.
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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".