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
Dené-Yeniseian is a historical-comparative linguistic hypothesis that claims a genealogical relationship between the North American language family Na-Dené and the Yeniseian family of central Siberia. If fully demonstrated, it would constitute the first established language link between an Old World family and one spoken exclusively by peoples native to the Americas, placing it alongside the Inuit-Yupik-Aleut (Eskaleut) family, which is more obviously located on both sides of the Bering Strait. Na-Dené consists of the still widespread Athabaskan (Dené) family, which contains over forty languages; the Tlingit language of Alaska’s Panhandle; and the recently extinct Eyak, once spoken in the region of Yakutat to Cordova, Alaska. Tlingit and Eyak-Athabaskan are the two primary branches of this family. The inclusion of Haida in Na-Dené remains controversial, and in any event, work on the Dené-Yeniseian hypothesis has not uncovered any new potential evidence that Haida is related to Yeniseian. The Yeniseian family in the early twenty-first century is represented by the critically endangered Ket language, spoken in three closely related dialects by fewer than one hundred elderly speakers out of an estimated twelve hundred ethnic Ket people, most of whom live in small riverside villages in extremely isolated areas of Turukhansk province. The Ket and their extinct relatives—the Yugh, Kott, Assan, Arin, and Pumpokol—formerly lived much farther south along the Yenisei and its tributaries, and substrate river names of Yeniseian origin suggest that these tribes once inhabited an area from north-central Mongolia westward to the Altai Mountains and north to the Angara on the southeastern tip of Lake Baikal, with hydronymic evidence of some Yeniseian dialects at least as far west as the Ob-Irtysh watershed.
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.
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 | 0.001 | 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) | 0.007 | 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 it