Prehistoric Mountain Goat <i>(Oreamnos americanus)</i> Mother Lode Near Prince Rupert, British Columbia and Implications for the Manufacture of High-Status Ceremonial Goods
Bibliographic record
Abstract
Abundant mountain goat (Oreamnos americanus) remains were recovered from two archaeological sites on Kaien Island near Prince Rupert Harbour, British Columbia. No other archaeological sites in North America have anywhere near the abundance of mountain goat remains as were recovered from GbTo 54 (NISP 410, 7.1% of identified mammals) and GbTo 13 (NISP 27, 5.4% of identified mammals). In contrast, at the impressive Boardwalk site on nearby Digby Island (GbTo 31), only 1% of identified mammals were identified as mountain goat, although goat remains from Grassy Bay (GbTn 1), also on Kaien Island, comprised 1.7% of identified mammals. With one exception, other western North American sites, including those in Alaska, recovered only a few pieces of mountain goat each (<0.5% of identified mammals). The dates for GbTo 54 and GbTo 13 span AD 200–AD 1300, with all four directly dated goat bones falling within that period. Most goat bones appeared to come from adult or subadult males and element abundance analysis of GbTo 54 remains indicate that whole animals may have been selectively butchered into transportable units. Other evidence suggests the occupants may have specialized in the procurement of a variety of raw materials (not only mountain goat) used in the manufacture of high-status ceremonial goods.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".