Challenging the Imagined North in Sheila Watt-Cloutier’s The Right to Be Cold
Bibliographic record
Abstract
The aim of the chapter is to discuss Sheila Watt-Cloutier's memoir The Right to Be Cold vis-a-vis Daniel Chartier's essay What is the Imagined North? Ethical Principles. The close reading of the activist's autobiography gives the impression of addressing directly the concerns expressed by the scholar, both texts demystifying the preconceived ideas about the North, too often reduced to a vast icebound landscape. Drawing on her lived experience of the native inhabitant of the circumpolar region, Watt-Cloutier challenges the misconceptions of “an uninhabited and uninhabitable Arctic” as well as defies “the silencing of cultural and human aspects of cold territories” (Chartier 78, 79). Not only does she give a human face to climate emergency, for which she has been universally credited, but importantly for this chapter, she gives a human face to the Canadian north. The discussion focuses on such aspects as indigenous colonialism and its aftermath, traditional knowledge and culture, as well as climate emergency that has changed the face of the Arctic region.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".