Review of <i>Lanterns on the Prairie: The Blackfeet Photographs of Walter McClintock</i> edited by Steven L. Grafe, with contributions by William E. Farr, Sherry L. Smith, and Darrell Robes Kipp
Bibliographic record
Abstract
Walter McClintock (1870-1949) is principally known for two books, The Old North Trail; or Life, Legends and Religion of the Blackfeet Indians (1910) and Old Indian Trails (1923). Both are illustrated with McClintock's photographs, The Old North Trail generously so. They convey an idealized vision of the traditional Blackfeet culture that captivated McClintock when, as a Yale graduate aspiring to a career in forestry, he visited the Blackfeet reservation in Montana in 1896. On subsequent visits through 1912 his collection grew to over 2,000 photographs, and he established himself as an authority on the tribe, delivering lectures in America and Europe illustrated with hand-colored lantern slides.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.017 |
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".