Code‐Mixing among Sakha–Russian Bilinguals in Yakutsk: A Spectrum of Features and Shifting Indexical Fields
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article, I examine language mixing among Sakha–Russian bilinguals in Yakutsk, the largest city in the Republic of Sakha–Yakutia in the far northeastern region of the Russian Federation. Since the end of the Soviet era, the increasing movement of Sakha‐speakers from rural areas to the city has been shaping the language practices of bilingual speakers there, creating opportunities for Sakha usage outside of the home in settings formerly dominated by Russian. Through a discussion of language contact between Sakha and Russian, and of the borrowing or copying process through which Russian words enter into the Sakha lexicon, I consider the ways in which purist language ideologies and indexical meanings shape the spectrum of feature choices that bilinguals navigate when speaking Sakha. I also describe a syncretic speech style that is beginning to undergo enregisterment (Agha 2003) in the urban space of Yakutsk, showing how certain features that display varying degrees of bivalency play a particularly important role in this process.
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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 | 0.009 |
| 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) | 0.001 | 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 it