Banlieue Nord: A Brief Contribution to How We Inhabit the North and How the North Inhabits Us
Bibliographic record
Abstract
Beyond its many simplified representations such as cold, hostile, uninhabited, or unknown, the north reveals itself as a complex and multiple space of interwoven geographical, cultural, social, and conceptual dimensions. Influenced by world views, the power of maps and myths as well as the very relation to the landscape itself as one of extraction or attraction, humans subjectively apprehend these multiple norths. By dwelling in the northern lands through experience or imagination, ‘southerners’ and ‘northerners’ alike do not simply inhabit the north; they are in turn inhabited by it. Situated at the ‘gates of the north’ in subarctic Canada, the mono-industrial company town Fermont fits its town centre entirely under a single roof. Planned and commissioned in the 1970s by a mining company, the town’s Utopian purpose was to ‘make a society’ in an inhospitable climate, while serving the exploitation of the mine. Fermont’s case serves here as a laboratory to understand the complexities of the north in more general terms. At the crossroads of image-based practices and the humanities, this contribution engages with the question of how humans inhabit the north and how they are inhabited by it.
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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| 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".