Sky loom: Native American myth, story, and song
Bibliographic record
Abstract
Sky Loom offers a dazzling introduction to Native American myths, stories, and songs drawn from previous collections by acclaimed translator and poet Brian Swann. With a general introduction by Swann, Sky Loom is a stunning collection that provides a glimpse into the intricacies and beauties of story and myth, placing them in their cultural, historical, and linguistic contexts. Each of the twenty-six selections is translated and introduced by a well-known expert on Native oral literatures and offers entry into the cultures and traditions of several different tribes and bands, including the Yupiit and the Tlingits of the polar North; the Coast Salish and the Kwakwaka'wakw of the Pacific Northwest; the Navajos, the Pimas, and the Yaquis of the Southwest; the Lakota Sioux and the Plains Crees of the Great Plains; the Ojibwes of the Great Lakes; the Naskapis and the Eastern Crees of the Hudson Bay area in Canada; and the Munsees of the Northeast. Sky Loom takes the reader on a wide-ranging journey through literary traditions older than the discovery of the New World.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".