‘I Watch to See How the Land Is Changing’: An Inuit Perspective on Changing Environments and Cultural Resilience in the Western Canadian Arctic
Bibliographic record
Abstract
George Angohiatok (pronounced ‘ano-HI-tok’) is a keen observer of Arctic landscapes, animals, and peoples. Raised on the land by his parents and grandparents in the western Canadian Arctic, George talks easily about his deep appreciation for the land and his significant concerns for the future of the Arctic and Inuit. George shares his observations of changes to the physical and social environments – changes he calls overwhelming – through richly detailed personal narratives. In the conversations presented in this chapter, George deftly weaves together changes to both settings, and illustrates the importance of considering our two worlds holistically. George’s story and words are transcribed here with minimal interruption from the other authors. Conventional academic reflections on methodology and literature are found within George’s story and afterwards.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.039 | 0.022 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".