Traditional Ecological Knowledge (TEK) of the Arctic Cultural Circle in Three Ethnographic Works from China, Russia, and Canada
Bibliographic record
Abstract
This paper analyzes the Traditional Ecological Knowledge (TEK) within the Arctic Cultural Circle by comparing three influential texts: the Russian travelogue Dersu, the Trapper (1923); the Canadian memoir People of the Deer (1952); and the Chinese novel The Last Quarter of the Moon (2005). By examining these texts, which depict the Indigenous cultures of the Nanai, the Ihalmiut, and the Ewenki, the study identifies shared ecological perspectives. These include an emphasis on the sacredness of nature, as seen in their animistic worship and spiritual connection to the environment; a holistic relationship between humans and nature, characterized by a wise and sustainable use of resources and a minimal sense of ownership; and a sense of reciprocity among all living beings, fostering mutual care and respect within the natural world. The paper further contends that the TEK of the circle offers valuable reference for addressing contemporary environmental and social challenges posed by climate change and biodiversity loss, particularly in the context of modernization and globalization.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.020 | 0.015 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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 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".