Vadzaih Tthâan Oozhriâ and Gwichâin culture
Bibliographic record
Abstract
I will be presenting a diagram of caribou bone names using our Gwichâin language. Many of these body parts are specialized knowledge, known only by the elders, but for our language and culture to survive they need to be taught to younger speakers and active hunters. I will also show how we use the different parts of the caribou to make traditional tools, clothing, toys, and games and how we butcher these animals so that nothing is wasted. Even some of our family names and personal names come from the names for caribou bones. Along with the bones, we also have names for all the meats, skin, and internal organs. Most of the names for caribou body parts are also used for other game animals such as moose and Dall sheep. I will also talk a little bit about dialect differences between Alaskan and Yukon Gwichâin villages and those in the Northwest Territories.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".