Unfolding Margaret Maclean's Orihon-Format scrapbook in the Royal Ontario Museum Collection: a focus on context, preservation and access
Bibliographic record
Abstract
My thesis comprises the analysis, cataloguing and preservation of Canadian author and educator Margaret MacLean’s Japan Scrapbook at The Royal Ontario Museum. This project uses collections management strategies to describe the scrapbook at the item-level, catalog 597 printed photographs and images for upload to The Museum System database (TMS); attempts to decode the author’s compilation and editorial process and finally, make recommendations for suitable handling procedures for access and physical preservation. The objects are affixed onto a large-format, traditional, Japanese, accordion-bound, album-style book called orihon. Together they capture a moment in Japanese history and visual culture in the first decade of the 20th century, and foreshadow MacLean’s 1920s education work at The ROM. The scrapbook was compiled sometime between 1904 and 1928, using materials ranging from about 1880 to 1915, illustrating the 1904 to 1908 period when Margaret Maclean and her father resided in Yokohama, Japan.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".