Description of war photographs : designing a list of subject headings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This project is focused on the research and practical design of a list of subject headings which describes topical subjects visually represented in war photographs. To increase access to this type of cultural heritage, this list is a user-friendly tool for the efficient description of war photographs which does not require specialized knowledge in the subject of war for its implementation. Three main strategies are employed to this end: The implementarion of a strictly controlled vocabulary; the use of a streamlined multi-tiered hierarchical arrangement; and the placement of specific subject headings within the hierarchical structure of terminology that function as key access points to war photography collections. The basis of development of this project is the approach to the description of war photographs of three institutions. These are: George Eastman House Museum of Photography and Film, the Canadian War Museum's Military History Research Centre, and Ryerson University's Black Star Historical Black & White Photography Collection.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 it