On good terms: pathways to decolonizing science-appropriated Indigenous terminologies in Arctic research
Bibliographic record
Abstract
Many western scientific disciplines adopted Indigenous Knowledge and terminology without deference to or understanding of the original meanings and values attached to Indigenous terms and concepts. This form of scientific appropriation has become a serious barrier to efforts of decolonizing Arctic research. The notion of Alaas is an example of such appropriation by the western science-based system of Indigenous knowledge about human–nature relations. This paper aims to discuss the term Alaas as it is conceptualized in both western science and Indigenous knowledge. The paper will explore the development of “alas” as an international permafrost science term and Alaas as an economic, traditional, cultural, and spiritual space of the Sakha People in Northeastern Siberia. Through an analysis of these histories and meanings, the authors suggest pathways to decolonizing western science-appropriated Indigenous terminology.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".