Procession and water splashing: expressions of locality and nationality during Dai New Year in Xishuangbanna
Bibliographic record
Abstract
The focus of this article is the celebration of the Dai New Year in the Xishuangbanna Dai Autonomous Prefecture, an area of great diversity in Yunnan Province, China. The Dai are a people of southwest China and Southeast Asia and are classified by the Chinese state as one of the country's fifty‐five ‘minority nationalities’ or ‘ethnic groups’. Through an exploration of the spectacular processions and boisterous practices of water splashing which are important features of Dai New Year, complex power plays among the diverse peoples of Xishuangbanna are illuminated. These festivities reveal the intricate processes by which aspects of Dai experience (including Theravada Buddhism, increasing ‘ethnic tourism’, and interaction with the state) interplay in such a way as to contribute to the changing and multiple images of what it is to be Dai. Attention is also given to the carnivalesque cacophony of the water splashing engaged in by celebrants, which subtly signals the possibility of other ways of being whilst also generating a sense of solidarity amongst the peoples of Banna as distinguished from outsiders.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".