Prototyping the Archival Ephemeral: Experimental Interfaces for the Edwin Morgan Scrapbooks
Bibliographic record
Abstract
This paper introduces two digital prototypes, the Colour Collage and the Constellation visualizations, which we developed to represent eight pages from the scrapbooks of Scottish Poet Makar Edwin Morgan (1920–2010). We understand these prototypes as experiments within our research through design process, rather than as stand-alone digital objects, and so this article presents the theoretical pursuits and design decisions that motivated, and were motivated by, these prototypes. We begin by establishing our theoretical framework, which focuses on the roles of inscription technologies in archives and is guided by Bruno Latour’s concept of a mediator (1993). We then discuss scrapbooks as polyvocal and hybrid mediators, which are nonetheless often pushed to the fringes of reading practices and material histories. In unpacking the fringe status of the Morgan scrapbooks in particular, we outline the copyright restrictions that complicate their digital publication. Reconceptualizing these restrictions as creative constraints, our prototypes experiment with forms of representation that go beyond the facsimile, drawing on detailed metadata and generating new visualizations that are inspired by the scrapbooks’ materially-specific grammars. Our aim with these prototypes is to open the scrapbooks to new forms of play and discoverability in online contexts, while using digital tools and methodologies to better understand the scrapbooks’ multifaceted modes of meaning creation. We conclude by discussing some of our prototypes’ limitations, as well as future directions for our research through design process for the Morgan Scrapbooks.
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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 | 0.010 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".