Imagining Head Smashed In: Aboriginal Buffalo Hunting on the Northern Plains
Bibliographic record
Abstract
At the place known as Head-Smashed-In in southwestern Alberta, Aboriginal people practiced a form of group hunting for nearly 6,000 years before European contact. The large communal bison traps of the Plains were the single greatest food-getting method ever developed in human history. Hunters, working with their knowledge of the land and of buffalo behaviour, drove their quarry over a cliff and into wooden corrals. The rest of the group butchered the kill in the camp below. Author Jack Brink, who devoted 25 years of his career to “The Jump,” has chronicled the cunning, danger, and triumph in the mass buffalo hunts and the culture they supported. He also recounts the excavation of the site and the development of the Head-Smashed-In Buffalo Jump Interpretive Centre, which has hosted 2 million visitors since it opened in 1987. Brink’s masterful blend of scholarship and public appeal is rare in any discipline, but especially in North American pre-contact archaeology. Brink attests, “I love the story that lies behind the jump—the events and planning that went into making the whole event work. I continue to learn more about the complex interaction between people, bison and the environment, and I continue to be impressed with how the ancient hunters pulled off these astonishing kills.”
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".