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Record W890900765 · doi:10.4000/cultura.2107

Dossiê os livreiros e o seu património

2013· article· pt· W890900765 on OpenAlexaff
Nuno Medeiros, Daniel Melo, Fátima Ribeiro de Medeiros, Livreiros da Sá da Costa

Bibliographic record

VenueCultura · 2013
Typearticle
Languagept
FieldArts and Humanities
TopicHistory of Education Research in Brazil
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Este dossiê representa a continuidade de um projecto que tem procurado debater publi­camente o património dos agentes ligados à produção e circulação do livro. Centrando-se nos espólios dos livreiros, a introdução problematizante e os depoimentos procuram dis­cutir o seu carácter invisível enquanto objecto de pesquisa, salvaguarda e divulgação. Há, então, uma reflexão que urge fazer, à semelhança do que ocorre com o património dos edi­tores (arquivos históricos e não só), no sentido de reconhecer o estatuto patrimonial e histó­rico dos acervos dos livreiros e das livrarias enquanto espaços fundamentais da construção da cultura impressa e da história do livro e da edição. Mas é também urgente conferir ao debate um cunho de acção e de cooperação inter-institucional que suscitem uma sensibili­dade política e o aparecimento de possibilidades concretas de salvamento, recolha e depó­sito sistemático de um dos mais fundamentais elementos da memória colectiva escrita. Os depoimentos referidos são de Fátima Ribeiro de Medeiros e dos Livreiros da Sá da Costa.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.015
Scholarly communication0.0100.007
Open science0.0010.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0250.005

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 head0.057
GPT teacher head0.287
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
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

Citations1
Published2013
Admission routes1
Has abstractyes

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