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Record W2770351345

VAMOS FALAR DE NOVA BIBLIOTECONOMIA

2017· article· pt· W2770351345 on OpenAlexaboutno aff
Emanuelle Geórgia Amaral Ferreira, Carlos Alberto Ávila Araújo

Bibliographic record

VenueAnais do Congresso Brasileiro de Biblioteconomia, Documentação e Ciência da Informação - FEBAB · 2017
Typearticle
Languagept
FieldComputer Science
TopicInformation Science and Libraries
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesNova scotiaArtNova (rocket)PhilosophySociologyEthnology
DOInot available

Abstract

fetched live from OpenAlex

A conferencia de abertura do XXVI Congresso Brasileiro de Biblioteconomia e Documentacao nos fez o seguinte convite: “Vamos pensar juntos uma nova Biblioteconomia?”. No mesmo ano, acompanhando algumas das postagens do grupo fechado da rede social Facebook intitulado Bibliotecarios do Brasil, a seguinte chamou atencao: tratava-se do compartilhamento da noticia de que em Praga esta localizada a livraria “mais bonita do mundo”. O participante do grupo que divulgou, colocou no enunciado no Brasil faltam livrarias, bibliotecas e gente interessada em ler. Cenario a Nova Biblioteconomia resolver. Em outras postagens semelhantes, destaca-se a mesma frase para a Nova Biblioteconomia resolver”. Afinal, o que e a nova Biblioteconomia? E por meio dela que resolveremos tais questoes no contexto brasileiro? O presente trabalho apresenta uma discussao inicial sobre alguns aspectos que serao contemplados ao longo da tese de doutorado em Ciencia da Informacao que pretende abordar a “nova Biblioteconomia” no contexto brasileiro.

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)0.007
metaresearch head score (Gemma)0.016
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: Other · Consensus signal: Other
Teacher disagreement score0.081
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0120.009
Scholarly communication0.0160.009
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0460.009

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 head0.067
GPT teacher head0.341
Teacher spread0.275 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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