Bibliographic record
Abstract
Jicarilla Apache is an Eastern Apachean language, a member of the Athabaskan family of North American languages. The speech described here is that of one of the authors, Merton Sandoval of Dulce, New Mexico. The Apachean group is comprised of Western Apachean (Navajo; the Western Apache dialects Cibecue, San Carlos, and White Mountain; and Chiricahua and Mescalero) Eastern Apachean (Jicarilla, Lipan) and Plains Apache (formerly called Kiowa Apache). The other major groups of Athabaskan languages include the northern group of languages spoken in Alaska and Canada, and the Pacific Coast group spoken in Oregon and California. While the western Apachean languages have a well-documented member in Navajo, the eastern group is less well known, being best documented so far in the works of Goddard (1911), Hoijer (1938, 1945, 1946a, 1946b) and Jung (1999). Differences between the western and eastern groups concentrate in consonant development and the evolution of stem shape, and, to some extent, in the lexicon; however, Jicarilla resembles all other Athabaskan languages in bearing a close morphological relationship to all its relatives.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".