Bibliographic record
Abstract
This is an accepted article with a DOI pre-assigned that is not yet published.In Northern Canada, the Tłı̨chǫ have lived a long history of settler-imposed mining. The history of the mines is written into Tłı̨chǫ place names that hold the knowledge of ecological harm and repair, the community re-purposing of mining equipment and refuse. This history and the broader context of past and present colonial dispossession of Indigenous peoples has shaped the contemporary engagement of Tłı̨chǫ with diamond mines, the largest extractive operations in the region, the Northwest Territories of Canada. The northern diamond industry is contracting, and all territorial diamond mines will likely be closed by 2035. In this article, John B. Zoe, knowledge holder and Chair of Dedats'eetsaa: Tłı̨chǫ Research and Training Institute, shares the Tłı̨chǫ experience with the diamond mines, and, as the diamond industry contracts, community experiences with and concerns surrounding forthcoming closure. Writing with collaborators and settler scholars, Rebecca Hall and Tee Wern Lim, Zoe contextualizes the community-industry agreements shaping the diamond mine closure in the long history of settler-Indigenous treaty making. While tracing the substantive gains the Tłı̨chǫ have made in their influence over mining operations on their territory, the article points to the problems that persist, as Tłı̨chǫ continue to struggle for self-determination over their lands, and extractive operations on these lands. Ultimately, Zoe asks, what is Tłı̨chǫ closure? What is an Indigenous-led approach to closure, and how might this approach make way for a future grounded in Indigenous relations to land? In response, he identifies four pillars for an acceptable and just approach to closure: the activities of mine closure, and subsequent economic development, must be grounded in Tłı̨chǫ land, language, culture and way of life.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 teacher head, 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".