Pioneer Photographers from the Mississippi to the Continental Divide
Bibliographic record
Abstract
This biographical dictionary of some 3,000 photographers (and workers in related trades), active in a vast area of North America before 1866, is based on extensive research and enhanced by some 240 illustrations, most of which are published here for the first time. The territory covered extends from central Canada through Mexico and includes the United States from the Mississippi River west to, but not including, the Rocky Mountain states. Together, this volume and its predecessor, Pioneer Photographers of the Far West: A Biographical Dictionary, 1840-1865, comprise an exhaustive survey of early photographers in North America and Central America, excluding the eastern United States and eastern Canada. This work is distinguished by the large number of entries, by the appealing narratives that cover both professional and private lives of the subjects, and by the painstaking documentation. It will be an essential reference work for historians, libraries, and museums, as well as for collectors of and dealers in early American photography. In addition to photographers, the book includes photographic printers, retouchers, and colorists, and manufacturers and sellers of photographic apparatus and stock. Because creators of moving panoramas and optical amusements such as dioramas and magic lantern performances often fashioned their works after photographs, the people behind those exhibitions are also discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".