Preserving ‘Myself’: The Contextualization and Reproduction The Ida Gorbaty Album at the McCord Stewart Museum
Bibliographic record
Abstract
Preserving “Myself”: the Contextualization and Reproduction of the Ida Gorbaty Album at the McCord Stewart Museum, Sara Fleiszig, Masters of Arts, 2023, Film and Photography Preservation, and Collections Management, Toronto Metropolitan University. The Ida Gorbaty “Myself” album held at the McCord Stewart Museum, is a scrapbook-style photographic album that contains 75 gelatin silver prints, representing Jewish life in Montreal during 1946. The album was created by Ida Gorbaty when she was 14 years old. The purpose of housing photographic albums is to protect the photographic images encased inside, yet this housing can also facilitate an act of contextualization and accessibility. What would happen if the housing structure of an album hindered the object's original function? Since photographic albums are increasingly popular in institutions, archives, and collections as research tools, it is crucial to determine how the housing of the album can protect the photographic imagery inside, while also permitting interpretation of the object. This thesis focuses on the stabilization and contextualization of the Ida Gorbaty ‘Myself’ photographic album. Digitization and reproduction creation are recommended to achieve the goals of preserving the original objects, physicality, and simulating the album's visual and oral experience.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".