Introduction / སན་གང་ག་གཏམ། / 导论
Bibliographic record
Abstract
Shépa is an encyclopaedic collection of antiphonal songs that have been practiced by the Choné people, a Tibetan subgroup residing in Gansu Province of northwest China, for centuries. This collection details Tibetan cosmology, geography, history, social customs, and cultural-religious objects, among other themes. It also contains cultural elements from neighbouring civilisations that were adopted by Tibetans. The content and performative styles of Shépa overlap with other forms of Tibetan oral tradition from northern Amdo to the southern Himalayas. Shépa also has a long-standing and entangled relationship with Tibetan literature, blurring the boundaries between orality and textuality and resisting strict demarcation. Currently, the performance and transmission of Shépa face new challenges and opportunities in the context of intangible cultural heritage preservation. For the Choné people as well as for broader Tibetan society, Shépa constitutes a repository of Indigenous, Bon, and Buddhist knowledge.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.149 | 0.036 |
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".