Infrastructural Disruption, Entanglement and Change in Northern Manitoba
Bibliographic record
Abstract
Situated at the junction of boreal forest, Subarctic tundra, and Hudson Bay, the town of Churchill in northern Manitoba is unique for its transport infrastructure. With no road access, this community of 870 people hosts the only deep-water port on the Arctic Ocean connected to the North American rail network. Its airport, a legacy of military presence, supports a growing tourism economy. Churchill exists because of these infrastructures—and has changed alongside them. This entanglement becomes especially visible when infrastructure is disrupted. In 2017, flooding destroyed sections of the Hudson Bay Railway, cutting off land access for eighteen months. The disruption triggered shifts in ownership, control, and governance, resulting in one of the few cases worldwide where Indigenous and northern communities collectively own and manage a major Subarctic transport corridor. Ethnographic fieldwork and future scenario workshops reveal how residents of Churchill engage with infrastructure—living with, adapting to, and reimagining it in everyday life. Infrastructure is approached not only as a technical system but as a site of political, affective, and future-oriented engagement. As such, it offers a powerful lens for understanding broader dynamics of change and continuity in (sub)Arctic regions shaped by climate pressures and colonial legacies.
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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 | 0.004 | 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) | 0.001 | 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".