MétaCan
Menu
Back to cohort
Record W2887063285 · doi:10.1177/0340035218785198

Momentous moment: Rediscovering Korean history through digitizing private letters

2018· article· en· W2887063285 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIFLA Journal · 2018
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDigitizationMetadataGeneral partnershipLibrary scienceAnnotationDigital collectionsSpecial collectionsCollection developmentWorld Wide WebDigital libraryHistoryComputer sciencePolitical scienceLawArtTelecommunications

Abstract

fetched live from OpenAlex

The purpose of this paper is to provide an overview of the development of a digital archive for the Min Family Correspondence Collection of the University of Toronto Libraries, the first Korean historical manuscript collection in Canada. This strategic digitization project between the University of Toronto Libraries and the National Library of Korea accomplished the following: content analysis and annotation of manuscripts, metadata creation, and enhanced access to the resources. The results from this paper show that one of the crucial factors in successful digitization projects is building bridges between the two organizations as a partnership. Our main aim in this paper was to build a deeper understanding of how to develop a digital archive for Asian historical manuscripts and to explore how to improve the accessibility of rare historical records.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score0.999

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 communication0.0010.014
Open science0.0010.000
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 head0.024
GPT teacher head0.221
Teacher spread0.197 · 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