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THE RECEPTION OF THE THEORY OF THE UNIFIELD STATE ARCHIVAL FUND

2019· article· en· W2994802392 on OpenAlexaboutno aff
Stefka H. Petkova

Bibliographic record

VenueHistory and Archives · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationState (computer science)PoliticsDiversity (politics)NoveltyPolitical scienceHistoryLibrary scienceLawComputer science

Abstract

fetched live from OpenAlex

The paper is dedicated to the 100 th anniversary of the establishment of a network of state archives in Russia. The author states that one of the achievements of the Russian archivists from the early 20 th century is at the same time the greatest theoretical achievement of the world archival science in the last century. The theory of Unified State Archival Fund appears in response to the new tasks of historical archives around the world in respect of the immense amount of emerging documents, their extreme diversity in type, mode of creation and use, the rapid development of social sciences. The comprehensive coverage of historically valuable documentation for its preservation for future generations (regardless of the type, author, creator and owner of the information, the technique of fixing and using it) appears to be the most easily achievable in Soviet Russia and in the countries similar to her in terms of organization, but it is a task for all other countries. The article mentions statements about the positives of overall and integrate centralization of the archives, made by many prominent representatives of world archival theory and practice. Throughout the 20 th Century, there actually was an exchange of ideas and positive practices in this respect, regardless of the economic and political differences between countries. Particularly impressive are the successes of the archivists in Canada, where the quest is for archives that are even been called «total” but which, unfortunately, forgetting their predecessors are presented as a theoretical novelty.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.574
Threshold uncertainty score0.420

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.028
GPT teacher head0.169
Teacher spread0.142 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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