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Record W334608121

King Sejong's role in the repair of the Kyeongbok Palace in the early period of the Joseon Dynasty

2002· article· en· W334608121 on OpenAlexaboutno aff
Donguk Kim

Bibliographic record

VenueJournal of architectural history · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReignAncient historyCeremonyHistoryQuarter (Canadian coin)Period (music)ArtLawArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The Kyeongbok Palace was completely renewed during the reign of King Sejong, the fourth King of the Joseon Dynasty(1392-1910). The repair was done for the two main purpose; one was to obtain the dignity of the main palace of the dynasty, the other was to make the palace suitable for the performing of the various ritual ceremonies. It was under the reign of King Sejong that every detail of the procedure of the royal ritual ceremony. The procedure of ritual ceremony changed the buildings of the palace. The quarter of Sajeong-jeon, King's office, was changed remarkably from the original form as the building became the beginning and ending point of King's moving during the ritual ceremonies. The site of the palace had ill reputation from the point of geomancy since its establishment. King Sejong ignored the rumor and kept the palace as usual. In his later year's, Sejong had tried to build a detached quarter and a Buddhist shrine in the palace. But he had to give up his plan because of the retainer's strong opposition. The original layout of the Kyeongbok Palace could be remained as the King renounced his controversial personal wish. King Sejong deserves a full credit for the establishment of the Kyeongbok Palace as the main palace of the Joseon Dynasty.

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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.181
Teacher spread0.151 · 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
Published2002
Admission routes1
Has abstractyes

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