An Access Guide To Nickolas Muray’s The Great Tribes Of Africa Collection At George Eastman House
Bibliographic record
Abstract
Photographer Nickolas Muray's The Great Tribes of Africa collection consists of approximately seven thousand photographs, negatives and other photographic materials held in the archives of George Eastman House (GEH), International Museum of Photography & Film, Rochester, NY. The collection was created by Muray in 1957 as part of a larger project titled Peoples of The World (1955-60), which is also housed at GEH. Best known for his work as a celebrity portraitist and secondly as a commercial photographer employed by the best-known magazines of the time, Muray's ethnographic project, which he developed in his later years, was left unpublished and did not receive as much attention as his earlier works. This applied thesis project involved the creation of a finding aid for this significant but under-researched collection. It also includes an essay outlining the methodology and rationale for this work completed at GEH over an eleven-month period in 2011-12.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.404 | 0.236 |
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".