MétaCan
Menu
Back to cohort
Record W7117895149 · doi:10.5281/zenodo.18106639

1925-2025 Namsan Chōsen Jingū: Field Survey and Stone Structure Documentation (Centennial Evidence Package v1.0)

2025· article· ko· W7117895149 on OpenAlexaff
Jin Un Song

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageko
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsCanadian Cartographic Association
Fundersnot available
KeywordsCentennialDocumentationTimestampField (mathematics)Artifact (error)Foundation (evidence)

Abstract

fetched live from OpenAlex

“This is v0.1; v1.0 will follow in 2026 as a versioned update” Abstract (English) This working paper is a Research Artifact Package that seals and structures field evidence related to the former Chōsen Jingū (Namsan, Seoul; established 1925) in the centennial year of 2025. The package provides reproducible documentation—GPS coordinates, comparative photographs (c. 1920s vs. 2025), frame-based evidence from pre-1962 films, an official correction letter regarding mislabeling in the Seoul Station centennial exhibition, and a centennial timestamp captured on 2025-10-15. Rather than presenting a finalized historical monograph, the goal is to fix provenance and integrity (public timestamp + SHA-256 hashes) and to offer a verifiable foundation for peer review, documentary production, exhibitions, and future research versions.

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)0.005
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.359
Threshold uncertainty score0.915

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3590.203

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 head0.050
GPT teacher head0.280
Teacher spread0.231 · 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.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicCultural Heritage Materials AnalysisFrench-language works237,207