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Record W4404796202 · doi:10.1515/9780295998664

Agayuliyararput/Our Way of Making Prayer

2015· book· en· W4404796202 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Washington Press eBooks · 2015
Typebook
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrayerPsychologyArtPhilosophyReligious studies

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.060
GPT teacher head0.217
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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