Digital Bricolage: Design Speculations for Embodied Approaches to Digitized Print-based Cultural Collections
Bibliographic record
Abstract
COVID-related closures of public and academic libraries have underlined the importance of online platforms that provide access to digitized print-based collections. However, they also have highlighted the value of in-person handling of print artefacts for sensing and making sense of them. How do existing dominant digital platforms invite and/or discourage embodied forms of exploration and sense-making? What opportunities for embodied experience might we discover if we embrace the material qualities of print-based collections when designing interfaces for digital access? In this paper, we present findings from a speculative exercise where we invited creative professionals and experts in curating and handling access to collections to reflect on existing approaches to digitized print-based collections and to speculate about alternative design opportunities and modes of engagement. We argue for digital bricolage—a design approach that values working with materials that are “on hand” and embracing our ability to “handle” them in ways that foster both casual and curious exploration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".