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Record W562363991

Urban flashes Asia : new architecture and urbanism in Asia

2003· book· en· W562363991 on OpenAlexaboutno aff
Nicholas Boyarsky, Peter Christian Lang

Bibliographic record

VenueWiley eBooks · 2003
Typebook
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanismArchitectureArt historyChinatownHistoryCartographySociologyGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Editorial (Helen Castle). Introduction: Dirty Cities (Nicholas Boyarsky). Chinatown is Everywhere (Peter Lang). Introduction: Micro--Urbanism (Ti--Nan Chi). Way of Display: Urban Tactics in the Context of the Betel Nut Culture in Taiwan (Karl--Heinz Klopf). Anarchy and Beyond: An interview with Kazuo Shinohara (Hirohisa Hemmi). What is Made in Tokyo? (Yoshharu Tsukamoto). Hyper Complex Living (Nobuyaki Furuya). Gaikoku Mura: Japanese Foreign Country Villages (Sue Barr). In the Age of Indeterminacy: Towards a Non--Visual Pragmaticism (Gary Chang). Pearl River Delta: Lean Planning, Thin Patterns (Laurent Guiterrez & Valerie Portefaix). Bangkok: Liquid Perception (Brian McGrath). Reconstruction Solidarity: The Thao Tribe (Nicholas Boyarsky). Action (Verb) Taipei (Sand Helsel). Modern Heritage: A Terrain of the Question (Guyon Chung). Hanoi (Justine Grahame). Contributors Biographies. AD+ Building Profile Great a Bambooa Wall (Jeremy Melvin). Practice Profile: Yung Ho Chang (Jayne Merkel) Engineering Exegesis Bridging the Gap with Collaborative Design Programs for CAD/CAM (Andre Chaszar). Interior Eye: Architecture Without Architects (Craig Kellogg). Urban Entropy: A Tale of Three Cities (Thomas Deckker). Site Lines: Gooderham and Worta s Distillery, Toronto, Canada (Sean Stanwick).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.243
Teacher spread0.226 · 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 teacher head, not a consensus.

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

Citations1
Published2003
Admission routes1
Has abstractyes

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