Nuclear Avenue: “Cyclonic Development”, Abandonment, and Relations in Uranium City, Canada
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
The rise and abandonment of Uranium City constitutes an environmental history yet to be fully evaluated by humanities scholars. 1982 marks the withdrawal of the Eldorado Corporation from the town and the shuttering of its uranium mines. The population declined to approximately 50 from its pre-1982 population of about 4000. This article is inspired by findings from the authors’ initial field visit. As Uranium City is accessible only by air or by winter roads across Lake Athabasca, the goal of the visit in May 2017 was to gather information and questions through photographic assessment and through communication and interviews with residents. This paper in part argues that the cyclonic development metaphor used to describe single-commodity communities naturalizes environmental damage and obscures a more complicated history involving human agency. Apart from the former mines that garner remedial funding and action, the town site of Uranium City is also of environmental concern. Its derelict suburbs and landfill, we also argue, could benefit from assessment, funding, and remediation. Canada’s 2015 Truth and Reconciliation Commission Report provides a way forward in healing this region, in part by listening to the voices of those most affected by environmental impacts caused not by a metaphorical cyclone but by other humans’ decisions. As descendants of European immigrants to Turtle Island (the Indigenous term referring to North America), the authors are also subjects of the very terms—cyclonic development, abandonment, remediation—used to describe the history of the land itself: in this case, a mining town in the far northern boreal forests and Precambrian Shield.
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 | 0.000 |
| 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) | 0.000 | 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