Bibliographic record
Abstract
Tichurong is an unwritten Tibeto-Burman language spoken by approximately 2,700 people across eighteen villages in the Tichurong valley in the northwestern district of Dolpa in Nepal. It is also known as Poike, Poinke, Rongke, and Tichurongke; it continues to be used in everyday interactions, but differs in usage according to age and gender. It is one of two languages native to the Tichurong valley, the other being Kaike (ISO 639-3 code: kzq and Glottolog Code: kaik1246). Almost all residents of the Tichurong valley also speak Nepali and Tibetan, and some also speak Kaike, making the community decidedly multilingual. Through Nepal’s Language Commission, a sociolinguistic survey of Tichurong was conducted in 2018, and the language is one of 15 recently identified by the Central Department of Linguistics as warranting further research. While Tichurong is unaccounted for in all previous censuses and linguistic surveys, it has been highlighted by linguists studying Kaike. The Nepal Magar Writers Association hosted a study seminar in 2021 facilitated by two linguists to identify prominent phonological and morphological features of the Tichurong language.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.012 |
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".