The Salvage Frontier: Place, Nature, and Neoliberalism in a Small Northern Town
Bibliographic record
Abstract
Abstract The transition to a neoliberal economy that has been happening in Northern Canada has promised increasing control over resources to residents. Yet, the neoliberal approach carries significant risk, especially as it attempts to extract profit from failed and abandoned public projects—what Anna Tsing calls “salvage accumulation”. In Churchill, Manitoba, the primary economic drivers—shipping and tourism—have turned the town as a place into a particular type of salvage commodity. Built upon abandoned infrastructure, non‐human nature, the collapse of other industries, and the changing climate, these industries rely upon the overall place image of Churchill to bring non‐market goods into the commodity process. This process removes local control of place image (and experience) yet still embeds the risk of the venture in the location itself. Salvage accumulation as an entrepreneurial practice unequally distributes the risk onto residents while allowing the profits to accrue elsewhere.
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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 | 0.000 |
| 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 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".