Finding Aid For The Set Of George Streynsham Master's Albums At George Eastman House
Bibliographic record
Abstract
This thesis is an applied project in which a finding aid was created for the set of George Streynsham Master's albums held in the Richard and Ronay Menschel Library at George Eastman House International Museum of Photography and Film. The collection consists of twenty-one travel and autobiographic albums compiled by the English clergyman George Streynsham Master (1823-1900). The albums range in date from the 1850s through the 1890s, and include tipped-in albumen prints, lithographs, paintings, drawings, newspaper clippings, correspondence and hotel receipts. The museum acquired the albums in 1953 as part of the Alden Scott Boyer (1887-1953) collection. My thesis is divided into two parts, the first part describing the process and development of the finding aid, and the second comprising the finding aid itself, which is divided into ten sections: 1) The Creation of the Albums, 2) Provenance of the Collection, 3) Chronology, 4) Scope and Content of the Collection, 5) Album Inventory of Autobiographic Albums, 6) Album Inventory of Travel Albums, 7) List of Photographers and their Biographies, 8) Master's Use of Nineteenth-Century Guidebooks, 9) Bibliography of George Streynsham Master's Publishing Writings, and 10) References. The finding aid is accessible to researchers in the Menschel Library at George Eastman House.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.010 |
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".