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Record W229042277

After the Crash: Architecture in Post-Bubble Japan

2008· book· en· W229042277 on OpenAlexaboutno aff
Thomas Daniell, 仁史 阿部, Ari Seligmann

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsCrashSpeculationArchitectureReal estateRecessionEconomic bubbleHistoryEconomic historyEconomyQuarter (Canadian coin)Power (physics)EngineeringPolitical scienceEconomicsLawKeynesian economicsFinanceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In the late 1980s, Japan was awash in seemingly unlimited wealth and rising toward what would be the peak of its modern economic success, power, and influence. In 1991 the same lethal combination of risky loans, inflated stocks, and real estate speculation that created this bubble economy caused it to burst, plunging the country into its worst recession since World War II. New Zealand-born architect Thomas Daniell arrived in Japan at the dawn of this turbulent decade. After the Crash is an anthology of essays that draw on firsthand observations of the built environment and architectural culture that emerged from the economically sober post-bubble period of the 1990s. Daniell uses projects and installations by architects such as Atelier Bow Wow, Toyo Ito, and the metabolists to illustrate the new relationships forged, most of necessity, between architecture and society in Japan.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.005
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.022
GPT teacher head0.249
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations9
Published2008
Admission routes1
Has abstractyes

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