Unlocking the past: an analysis of sixteen Russian First World War Albums from the photography collection of the Art Gallery of Ontario, including enhanced cataloguing records
Bibliographic record
Abstract
This thesis includes theoretical and practical components. The theoretical part examines sixteen Russian photographic albums produced during the First World War. The albums form a part of the Art Gallery of Ontario’s (AGO) photography collection related to the First World War. In Part I, a literature survey, methodology section and historical chapter provide essential contextual and historical information about the objects. Part II consists of four essays that analyze the albums, divided into four groups. Based on the author’s translation of the available captions and her interpretation of the visual information found in the albums, the essays demonstrate how the critical events of Russian history during the period from 1910 to the 1920s are reflected through the photographs in these personal albums. The practical part of the thesis (Part III) provides a sampling of cataloguing records on an item level for the two Hospital Train albums in Appendix A and updated cataloguing records for all sixteen albums in Appendix B.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".