Bibliographic record
Abstract
Oral traditions of Indigenous American peoples (as well as those of other Indigenous peoples) have long been discussed with regard to their reliability as metaphorical accounts based upon historical knowledge. I explore this debate using stories to discuss the importance of the role of Corvidae in Indigenous knowledge traditions and how these stories convey information about important socioecological relationships. Contemporary science reveals that Corvids important in cultural traditions were companions to humans and important components of the ecology of the places where these peoples lived. Ravens, Crows, Jays, and Magpies are identified as having special roles as cooperators, agents of change, trickster figures, and important teachers. Canada (or Gray) Jays serve as trickster/Creator of the Woodland Cree people, Wisakyjak. Magpies won the Great Race around the Black Hills to determine whether humans would eat bison or vice versa. I analyze these stories in terms of their ecological meaning, in an effort to illustrate how the stories employ dramatic settings to encourage respect and fix relationships in the sociocultural memory of the people.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".