"Here today, gone to Mayo": an emotional geography of the Keno Hill silver mines
Bibliographic record
Abstract
Nestled high in the sub-arctic mountains of the Central Yukon Territory, the Keno Hill silver mines have closed and opened their doors three times in the past three decades. From a sudden closure in 1989, to a short-lived redevelopment in 2012, to a possible re-reopening in 2020, the mine site is emblematic of the cyclical nature of mining in the Canadian North. Within a framework of emotional and spectre geography, this thesis explores the lives of the people who live in the nearby communities of Keno City and Mayo, including the First Nation of Na-Cho Nyäk Dun. While many of these people have depended on the mines for their economic livelihood, the redevelopment of the mines proved both beneficial and detrimental to their way of life and their economic, social and environmental well-being. Using oral history and Indigenous methodology, I share the stories of long-time residents of the region, delving into the emotional impacts of mine closure and redevelopment. I suggest that these historic emotions did not dissipate, but instead hung like a spectre over the mine site, continuing to influence residents’ opinions regarding new mineral developments. Indeed, the Keno Hill case demonstrates that emotional invalidation has serious, long-lasting consequences for all parties involved in mineral (re)development, and, if ignored, negative emotions can cast a long shadow that haunts lands and communities, easily evoked by new or redevelopments and requiring remediation in the same way as the land.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.020 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".