Things As Yet Unknown : a Finding Aid for Selected 8 x 10 Negatives from the Roger Mertin Archive
Bibliographic record
Abstract
This thesis and project centers on a portion of the 8x10 inch negatives of the Roger Mertin Archive at George Eastman House, International Museum of Photography & Film, in Rochester, New York. Roger Mertin, a once‐prominent photographer, came of age artistically during a turning point in photographic history—he widespread “cademization” of the field. Sorely under‐researched, Mertin’ work remains a critical example of an aesthetic attitude exhibited by a number of influential photographers from his generation. Since taking custody of the Archive, GEH has kept it in storage, relatively undisturbed. Throughout most of 2012, an item‐level spreadsheet was compiled and the objects were catalogued and given accession numbers. In satisfaction of the requirements for a Master’ degree in Photographic Preservation and Collections Management from Ryerson University, this thesis outlines, discusses and defends my methodology. The resulting finding aid also includes appendices thought to be useful to current and future researchers.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.067 | 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".