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A organização da informação arquivística em arquivos de arquitetura do núcleo de pesquisa e documentação da faculdade de arquitetura e urbanismo – UFRJ

2011· article· pt· W1481489787 on OpenAlexaff
Claudio Muniz Viana

Bibliographic record

VenueEncontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação · 2011
Typearticle
Languagept
FieldComputer Science
TopicInformation Science and Libraries
Canadian institutionsVétoquinol (Canada)
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Esse artigo analisa a aplicação de técnicas e metodologias arquivísticas no tratamento de arquivos de arquitetura custodiados pelo Núcleo de Pesquisa e Documentação da Faculdade de Arquitetura e Urbanismo da Universidade Federal do Rio de Janeiro. Aponta as reflexões teóricas e iniciativas da comunidade arquivística nacional e internacional em torno dos conceitos e especificidades dos arquivos de arquitetura. A partir da perspectiva da arquivologia, e levando em conta as peculiaridades dos documentos arquivísticos originários das funções exercidas pelo arquiteto, enfoca problemas e dificuldades na realização da organização e recuperação de informação. Discute a aplicação dos princípios arquivísticos de respeito à ordem original e proveniência em arquivos de arquitetura.

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)0.017
metaresearch head score (Gemma)0.025
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: none
Teacher disagreement score0.032
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.015
Science and technology studies0.0060.010
Scholarly communication0.0260.009
Open science0.0020.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.043
GPT teacher head0.273
Teacher spread0.230 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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