Bibliographic record
Abstract
A project by Architecture + Adaptation, featuring work by Inundation 1 studio, exhibition design by Sara E. Dean, with support from the International Institute. This exhibition of architectural research on climate change and the politics of water in Southeast Asia is the work of a 2012 Taubman College design research studio led by Assistant Professor Meredith Miller and Lecturer Etienne Turpin. The studio conducted site-based research in Bangkok, Thailand, in collaboration with architects and planners to develop a comparative analysis of water issues. The students then participated in an international Joint Design Research Workshop with the Universitas Indonesia, Hong Kong University, and Ruangrupa Jakarta. As Southeast Asia's most populous and most dense metropolitan conurbation, and the second largest urban footprint in the world, Jakarta is undoubtedly a city of hypercomplexity. Likewise, Thailand's most populous and most dense metropolitan conurbation, Bangkok, is a city of contemporary hypercomplexity. Recent trends in weather intensification, sea level rise, extreme pollution, and river and coastal inundation, through multiplicative effects, make these two cities key sites for researching the urban and ecological transformations as they influence 21st century Southeast Asian metropolitan existence. An architectural and urban historian with interests in sociology, anthropology, visual cultures, history, and politics, Abidin Kusno (Associate Professor and Canada Research Chair in Asian Urbanism and Culture, University of British Columbia) is exploring the historical and contemporary conditions of urban politics and city life in Indonesia. His research, which examines the roles of cities in shaping the political cultures of decolonization, nation building, and development, provides a cross-disciplinary approach to the study of space, power, and culture, and contributes to urban advocacy. Co-sponsored by the International Institute and Center for Southeast Asian Studies.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.032 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.034 | 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".