Siberian Yupik Names for Birds: What Can Bird Names Tell Us about Language and Knowledge Transitions?
Bibliographic record
Abstract
This article analyzes the list of Siberian Yupik names for birds from Chukotka, Russia, from the unpublished “Dictionary of Traditional Subsistence Terminology of the Asiatic Yupik Eskimo” (n.d., [2010]), produced by the late Russian biologist Lyudmila Bogoslovskaya and Yupik language expert Lyudmila Ainana. It compares Bogoslovskaya and Ainana’s list against other lists of Indigenous bird names compiled in Chukotka and among the nearby Native Alaskan groups in the Bering Strait area, and biological (Linnaean) bird nomenclatures for the same region. The sequence of collected Yupik bird name lists from the 1930s to the early 2000s reveals a strong correlation to the advancing language and knowledge shift, as the Chukotka Yupik were increasingly driven to bilingualism by the Russian-dominated speech environment, media, and school system. By the time ornithologists and linguists compiled the first Native lists of bird names, the Yupik in Chukotka had already lost certain layers of their traditional bird taxonomy, but some of its elements may be construed. As the loss of traditional names for birds continues, the Yupik actively borrow Russian terms (or English, in Alaska) to describe many bird species they encounter in their environment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".