Language, identities and ideologies of the past and present Chukotka
Bibliographic record
Abstract
The historical background of Chukotka is one of intensive language contact and of rapid socio-political, economic, cultural and spiritual change, which often makes any predictions difficult, also in regard to language. When I first came to Chukotka in 2003, the Yupiget sense of ethnic awareness was very strong. The majority of the Yupik population expressed positive attitudes towards their Native language and seemed to be supportive of its revitalisation. However, when I returned to Chukotka in 2005, I found out that the Yupik language status and loyalty had shifted. In this paper, I discuss language shift in Chukotka with reference to St. Lawrence Island, Alaska. I also cast light on language transformations and adaptation that I have documented during my fieldwork in the area in 2003 and 2005, and give possible explanations as to why the revitalisation movement that I witnessed in the beginning of the new millennium was short-lived and had ceased by 2005.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".