Investigating History Through Exhibition Design: A Case Study On Wim Gilles
Bibliographic record
Abstract
The project centers on an archive of objects, documents and photographic materials left at Carleton University's School of Industrial Design (SID) by its founder, Willem (Wim) Gilles, PhD.Gilles passed away in 2002, having come to Canada 30 years earlier to establish SID.Reviewing the relatively small body of literature on Canadian design history, few sources mention design educators.The archive provides an opportunity to resolve a gap in design history and to learn more about design.Latour and Sanders offer a means to develop an exhibition of materials openly and collaboratively to respond to the initial research questions, who was Wim Gilles, why did he come to Canada and what was the outcome.Interviews with Gilles' colleagues and former students provided further information, and their participation in surveys about materials from the archives became the first iteration of an exhibition.A second set of surveys gathered feedback from first, second and third year SID undergraduate students, informing the second iteration of an exhibition and future research directions.The project demonstrates that creating an exhibition from an archive is a viable way to address research questions.However, as the research will show, there are many contingencies involved, so it is by no means a formulaic process.In terms of a broader project of developing design history to establish a design culture in Canada, the exhibition is just a starting point.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".