Bibliographic record
Abstract
The Plains region that stretches from northern Colorado to southern Alberta and from the Rockies to the western Dakotas is the land of the Cheyenne and the Blackfeet, the Crow and the Sioux. Its rolling grasslands and river valleys have nurtured human cultures for thousands of years. On cave walls, glacial boulders, and riverside cliffs, native people recorded their ceremonies, vision quests, battles, and daily activities in the petroglyphs and pictographs they incised, pecked, or painted onto the stone surfaces. In this vast landscape, some rock art sites were clearly intended for communal use; others just as clearly mark the occurrence of a private spiritual encounter. Elders often used rock art, such as complex depictions of hunting, to teach traditional knowledge and skills to the young. Other sites document the medicine powers and brave deeds of famous warriors. Some Plains rock art goes back more than 5,000 years; some forms were made continuously over many centuries. Archaeologists James Keyser and Michael Klassen show us the origins, diversity, and beauty of Plains rock art. The seemingly endless variety of images include humans, animals of all kinds, weapons, masks, mazes, handprints, finger lines, geometric and abstract forms, tally marks, hoofprints, and the wavy lines and starbursts that humans universally associate with trancelike states. Plains Indian Rock Art is the ultimate guide to the art form. It covers the natural and archaeological history of the northwestern Plains; explains rock art forms, techniques, styles, terminology, and dating; and offers interpretations of images and compositions.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.141 | 0.031 |
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".