Untold modernity: Kim Swoo-Geun's Korean Pavilion at Expo 67 and its neocolonial echo
Bibliographic record
Abstract
This paper reframes the Korean Pavilion at Expo 67 in Montreal through a postcolonial lens, challenging its dominant reading as a proud expression of Korean modernism. Designed by Kim Swoo-Geun during Cold War diplomacy, rapid industrialisation and lingering neocolonial legacies, the Pavilion is often praised for blending tradition with modernist form. However, this study argues that its architectural language — formally indebted to Japanese modernism and the Metabolist logic — embodies a passive neocolonial condition in which architectural modernism is reproduced without epistemic autonomy. This analysis addresses a notable gap in Korean architectural historiography, which has rarely interrogated substantial colonial inheritances, and situates this structure within an overlooked postcolonial critique. With the Pavilion slated for full restoration to its original form in 2027, the project urges a critical postcolonial re-evaluation of its ideological significance. Drawing on postcolonial theory and Korean scholarship critiquing fractured Korean modernism, it contextualises the Pavilion not as a celebratory icon, but as a conflicted neocolonial artefact. Through selective engagement with both Korean and global precedents, it foregrounds these entanglements, recasting it as a site of confrontation — a space for staging epistemic rupture and reimagining modernism on autonomous Korean terms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".