Towards a typological profile of the North Siberian substrate
Why this work is in the frame
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Bibliographic record
Abstract
The paper deals with a number of typologically rare features present in the languages of Northern Siberia (Nenets, Enets, Nganasan, Ewenki, Neghidal, Ewen, to some extent also Yukaghir and Chukchi); these features are: interrogative mood of the verbs, intraclitics, nominal tense, polysemy ‘real’ / ‘autochtonous’. They are absent in the languages spoken to the south, including other Uralic and Tungusic languages, thus being of clearly areal character. On the other hand, none of the existing languages can be regarded as a source of these features, so that their origin must be due to a common substrate. Interestingly, all the four features are well attested in the Eskaleut languages. These features allow us to make some hypotheses about the typological profi le of the languages spoken in Northern Siberia about 1000–2000 years ago. They must have been diff erent from the Uralo-Altaic type, but probably were typologically close to the present-day Eskaleut (Unangan-Yupik-Inuit).
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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