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Record W4367664950 · doi:10.1162/thld_a_00774

The Architecture of Animation: <i>Sungnyemun's</i> Cultural Fire, Materiality, and <i>Han</i>

2023· article· en· W4367664950 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThresholds · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureMateriality (auditing)DemolitionObsolescenceHistory of architectureAnimationHistoryBachelorVernacular architectureCultural historyArt historySociologyVisual artsArtAestheticsArchaeologyEconomic history

Abstract

fetched live from OpenAlex

May 01 2023 The Architecture of Animation: Sungnyemun's Cultural Fire, Materiality, and Han Yeo-Jin Katerina Bong Yeo-Jin Katerina Bong Yeo-Jin Katerina Bong is a Ph. D. student at the Daniels Faculty of Architecture, Landscape and Design at the University of Toronto. Her research broadly focuses on early modern architecture of Italy, focusing on the treatment of structural defects, destruction, and demolition by architects of the period. She also examines the undergirding cultural history and early modern reception of failed or failing buildings and connects them to our own concerns about building destruction, functional obsolescence, and heritage preservation in the twenty-first century. Her secondary research concentrates on the material construction and preservation of East Asian architecture, particularly timber buildings from the Joseon dynasty. Katerina received a bachelor's from the University of Toronto and a master's from the University of Pennsylvania in art and architectural history. She also serves as the graduate chair of the Graduate Student Advisory Committee for the Society of Architectural Historians. Search for other works by this author on: This Site Google Scholar Author and Article Information Yeo-Jin Katerina Bong Yeo-Jin Katerina Bong is a Ph. D. student at the Daniels Faculty of Architecture, Landscape and Design at the University of Toronto. Her research broadly focuses on early modern architecture of Italy, focusing on the treatment of structural defects, destruction, and demolition by architects of the period. She also examines the undergirding cultural history and early modern reception of failed or failing buildings and connects them to our own concerns about building destruction, functional obsolescence, and heritage preservation in the twenty-first century. Her secondary research concentrates on the material construction and preservation of East Asian architecture, particularly timber buildings from the Joseon dynasty. Katerina received a bachelor's from the University of Toronto and a master's from the University of Pennsylvania in art and architectural history. She also serves as the graduate chair of the Graduate Student Advisory Committee for the Society of Architectural Historians. Online ISSN: 2572-7338 Print ISSN: 1091-711X © 2023 Yeo-Jin Katerina Bong2023Yeo-Jin Katerina Bong Thresholds (2023) (51): 150–161. https://doi.org/10.1162/thld_a_00774 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Yeo-Jin Katerina Bong; The Architecture of Animation: Sungnyemun's Cultural Fire, Materiality, and Han. Thresholds 2023; (51): 150–161. doi: https://doi.org/10.1162/thld_a_00774 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThresholds Search Advanced Search This content is only available as a PDF. © 2023 Yeo-Jin Katerina Bong2023Yeo-Jin Katerina Bong Article PDF first page preview Close Modal You do not currently have access to this content.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.302

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 integrity0.0000.000
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 head0.081
GPT teacher head0.256
Teacher spread0.175 · 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