Futureâs Past: Exploring the archival legacy of Expo67
Bibliographic record
Abstract
This thesis addresses the dynamics and logics of public archival encounters in Canada. It examines the historical and national fantasies produced through the reactivation of archival records by focusing on four artistic interventions created for the 50th anniversary celebrations of Expo67 in Montreal. Informed by Svetlana Boym’s twofold categorization of nostalgia, restorative and reflective, I frame these artistic interventions in relation to the archival and exhibition spaces that give shape to their production and examine how the affective impacts of nostalgia become mediated through them. Relying on field notes, observations, interviews and a variety of online sources, I perform discourse analyses of these artworks and question who gets to speak through these public archival interfaces. Concerned with the many ways power, national identity and affect intertwine in archives, this thesis looks at what nostalgia, as a critical tool and framework, can tell us about the way our collective memories are shaped.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.030 | 0.025 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".