Memories Resurrected In Context: Gender and Remembrance in Charlotte Black's Scrapbook
Bibliographic record
Abstract
This article focuses on a scrapbook compiled by Charlotte Black, a Home Economics student who graduated from the Manitoba Agricultural College in 1925. The scrapbook, held at the University of Manitoba Archives and Special Collections, contains postcards, letters, invitations, memorabilia, and numerous photographs; and presents a snapshot of student life at the Manitoba Agricultural College. Scrapbooks are often disparaged as archival records. But in exploring the social and personal circumstances of the creator, scrapbooks can be read more critically, and their full value as archival records better understood. RÉSUMÉCet article fait le point sur un spicilège compilé par Charlotte Black, une étudiante en économie ménagère qui a obtenu son diplôme du Collège agricole du Manitoba en 1925. Le spicilège, déposé aux Archives et collections spéciales de l’Université du Manitoba, comprend des cartes postales, des lettres, des invitations, des souvenirs et plusieurs photographies, ce qui permet de donner une vue d’ensemble de la vie étudiante au Collège agricole du Manitoba. Les spicilèges sont souvent dépréciés comme documents d’archives. Mais en explorant les circonstances sociales et personnelles de leurs créateurs, les spicilèges peuvent être lus d’un oeil plus critique, et l’on parvient à mieux apprécier leur pleine valeur comme documents d’archives.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.019 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".