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Record W3119417727

노량행궁의 복원을 위한 기초연구

2018· article· ko· W3119417727 on OpenAlexaboutno aff
Uk-Hee 구욱희Koo

Bibliographic record

Venue대한건축학회 논문집 - 계획계 · 2018
Typearticle
Languageko
FieldArts and Humanities
TopicCultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Golden gateArchitectureCharge (physics)WorshipBridge (graph theory)EngineeringAncient historyArchaeologyArtHistoryCivil engineeringLawSpan (engineering)Political science
DOInot available

Abstract

fetched live from OpenAlex

Noryang Temporary Palace was a place where king Jeongjo (1752-1800) would have lunch after crossing the Temporary Palace River on his way to Hwaseong Temporary Palace to worship at Hyeonryungwon, the tomb of his father, Sadoseja. The government offices in charge of ship bridge construction ‘Jugyosa’ and ‘Byeoljangso’ were located in the Temporary Palace. The central buildings of the Haenggung Palace, which ranged up to Yongyangbongjeojeong, were arranged to observe both ‘Jugyosa’ and ‘Byeoljangso’ from the Temporary Palace by lifting the ground from Sammun Gate to Yongyangbongjeojeong. Yongyangbongjeojeong, the center of Noryang Temporary Palace, features the style of royal palace architecture and functions of housing architecture. The ‘Jugyosa’ and ‘Byeoljangso’ buildings had eight quarters. According to the records, in addition, 15 wood sheds, 5 rice hubs, 3 barns, 1 side gate quarter, 1 front gate, 70 separate sheds, 2 suragan temporary buildings, oesammun gate and hongsalmun gate were found. Such architectural layout is matched with the Temporary Palace Jugyohwaneodo Painting.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0370.004

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 head0.067
GPT teacher head0.230
Teacher spread0.163 · 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
GenreEmpirical

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

Citations0
Published2018
Admission routes1
Has abstractyes

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