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A Study on Management of Records and Archives of Messenger Based on Wired Network

2016· article· en· W2549706741 on OpenAlex
JungWon Choi, YeonHee Kim, Hae-Jin Lee, ChangJu Hwang, Yong Kim

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

VenueJournal of the Korean BIBLIA Society for library and Information Science · 2016
Typearticle
Languageen
FieldHealth Professions
TopicInnovation in Digital Healthcare Systems
Canadian institutionsnot available
Fundersnot available
KeywordsRecords managementComputer scienceNational archivesInstantWorld Wide WebData scienceLibrary science

Abstract

fetched live from OpenAlex

정보통신 발달로 인해 전자기록의 중요성이 커지기 시작하였고 이메일기록, 데이터 세트와 같은 전자기록의 기록학적 가치와 관리방안에 대해 논의가 진행되어 왔다. 한편 기관 내부에서는 디지털 커뮤니케이션 시스템 사용률이 증가하기 시작하였으며 디지털 커뮤니케이션 도구의 증거적 가치를 인정하고 있다. 이런 흐름 속에서 본 연구는 커뮤니케이션 도구 중 하나인 메신저기록의 중요성을 논의하고 효율적인 메신저기록 관리 방안을 제시하고자 하였다. 문헌조사를 수행하여 국가기록원, NARA, TNA, NAA, LAC의 메신저기록 관리현황을 조사, 비교하였고 국내 10개 기관 실무자들의 심층 면담을 수행한 뒤, 부족한 부분은 이메일로 보완하였다. 이를 통해 실무자가 사용하기에 업무적으로 보다 효율적이며 기록 관리 관점에서도 가치 있는 관리 모형을 제안하였다. As information and communication technologies have been developed, digital records are getting more important. Discussions on managements and archival value of digital records such as e-mail and data set have been undertaken. Furthermore, frequency of digital communication tools usage has been increasing in agencies and has gained recognition as official records. Accordingly, this study aims to deal with importance of instant messenger records and proposes effective management model of instant messenger records. We performed comparative analysis of management records which are related to instant messenger in national archives of United Kingdom, Australia, Canada and Korea and interviewed workers in agencies. Using this results, we propose effective and meaningful model for managing instant messenger records for workers in agencies.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.048
GPT teacher head0.355
Teacher spread0.307 · 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