Digitizing Family Albums in The Family Camera Network (FamCam), Archive at the Royal Ontario Museum (ROM):A Case Study of the Evans Family Collection
Bibliographic record
Abstract
My thesis explores the family album as an indivisible object within a museum’s collection. Family albums hold both private and public importance for their ability to share collective memories and are valuable resources for scholars and the general public. To realize the inherent value of albums, I argue that we need to treat them as singular objects. Most institutions – such as museums, libraries or archives – treat family albums merely as a group of individual images. In this thesis, I propose an alternative approach: viewing and digitizing the albums as whole objects that are inseparable, lest we distort the narrative shaped in the album. The digitization process advances three services: first, digitization increases access to the album; second, digitization often enables the public to see and understand the album as a whole, maintaining the vision that the album’s maker sought to construct; third, digitization helps preserve the albums. My thesis investigates best practices for family album digitization so that the public can see albums as whole objects. A case study will focus on the Evans family collection from the FamCam at the ROM (accession numbers: 2018.24.1-21), a family collection which comes from a Canadian family that lived in China from 1888, for nearly a 100 years. Twenty-one family albums comprise the collection. The collection portrays the lives of a Western family in China, and provides insight into a century of photography and history. My thesis discusses the methodology, tools, and specific techniques for digitization, while highlighting the complexity of family albums. Though this digitization process may differ from the typical protocols for artifacts, the uniqueness of family albums necessitates genre-specific procedures. My thesis contributes to the emerging literature on family photography in public institutions, and develops an original method for preserving and archiving them digitally.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".