Inuit Sentinels: Examining the Efficacy of (Life) Writing Climate Change in Sheila Watt-Cloutier’s The Right to Be Cold
Bibliographic record
Abstract
The impact of climate change on Inuit communities in the Canadian Arctic has been widely documented in a myriad of scientific publications. However, the cultural and identity shifts attached to these changes have often been overlooked in mainstream portrayals that center on ice melt and animal species extinction to the detriment of the human factor. As many scholars have stated (Patrizia Isabella Duda, 2017 and Andrew Stuhl, 2016), the risks embedded in Arctic climate change must be considered as directly related to a demise of culture, education, and the social conditions of Inuit communities. This paper examines Inuit experience as a human-centered approach to climate change in Sheila Watt-Cloutier’s The Right to Be Cold (2015). The text explores how Inuit ways of being are inseparable from the Arctic environment, demonstrating the vulnerability, adaptability and ingenuity of Inuit communities in the face of environmental crisis. Informed by Inuit epistemology and impregnated with feeling, I will argue how the autobiographical subject positions interlaced with affectivity in The Right exemplify Inuit life writing as essential contributions to climate change discourse.
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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 | 0.012 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.046 | 0.033 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".