Agayuliyararput/Our Way of Making Prayer
Bibliographic record
Abstract
Drawing on the remembrances of elders who were born in the early 1900s and saw the last masked Yup’ik dances before missionary efforts forced their decline, Agayuliyararput is a collection of first-person accounts of the rich culture surrounding Yup’ik masks. Stories by thirty-three elders from all over southwestern Alaska, presented in parallel Yup’ik and English texts, include a wealth of information about the creation and function of masks and the environment in which they flourished. The full-length, unannotated stories are complete with features of oral storytelling such as repetition and digression; the language of the English translation follows the Yup’ik idiom as closely as possible. Reminiscences about the cultural setting of masked dancing are grouped into chapters on the traditional Yup’ik ceremonial cycle, the use of masks, life in the qasgiq (communal men’s house), the supression and revival of masked dancing, maskmaking, and dance and song. Stories are grouped geographically, representing the Yukon, Kuskokwim, and coastal areas. The subjects of the stories and the masks made to accompany them are the Arctic animals, beings, and natural forces on which humans depended. This book will be treasured by the Yup’ik residents of southwestern Alaska and an international audience of linguists, folklorists, anthropologists, and art historians.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".