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Record W7031489097

TECHNICAL FILE

2018· article· pt· W7031489097 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicBrazilian Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)The artsExhibitionCriticism
DOInot available

Abstract

fetched live from OpenAlex

ARTis ON n.º 8 special issue in the context of the AzLab#42 Identity(ies) of the azulejo in Portugal [School of Arts and Humanities, University of Lisbon, 4th October, 2018] 2018 Director Vítor Serrão ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa, vit.ser@letras.ulisboa.pt Associate Director and General Editor Clara Moura Soares ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa, claramourasoares@letras.ulisboa.pt Editor for this special issue Rosário Salema de Carvalho Az – Rede de Investigação em Azulejo, ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa, rscarvalho@letras.ulisboa.pt João Pedro Monteiro Museu Nacional do Azulejo e Amigos do Museu Nacional do Azulejo, jmonteiro@mnazulejo.dgpc.pt Scientific Commission for this special issue Alexandre Pais Museu Nacional do Azulejo (MNAz) Alexandra Gago da Câmara Universidade Aberta e Centro de História da Arte e Investigação Artística Céline Ventura Teixeira Université Paris-Sorbonne Eva Maria Blum Centro em Rede de Investigação em Antropologia (CRIA / ISCTE–IUL) Clara Moura Soares ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa Francisco Queiroz Az – Rede de Investigação em Azulejo, ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa João Pedro Monteiro Museu Nacional do Azulejo Luís de Moura Sobral Université de Montréal Marluci Menezes Laboratório Nacional de Engenharia Civil Rosário Salema de Carvalho Az – Rede de Investigação em Azulejo, ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa Vítor Serrão ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa Secretariat Inês de Castro Cristóvão ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa, ines.cristovao@campus.ul.pt Edition ARTIS – Instituto de História da Arte, Faculdade de Letras, Universidade de Lisboa Graphic design and layout José Dias – Conceção gráfica / Graphic design Mafalda Matias – Paginação / layout ISSN 2183-7082 Frequency Annual Cover Official image of AzLab#42 Identity(ies) of the azulejo in Portugal designed by Inês Leitão The intellectual property of the journal’s contents belong to the authors and the editing and publishing rights belongs to the journal ARTis ON©. The contents of the articles are those of the scientific and ethical responsibility of their authors, as well as the spelling criteria adopted. Evaluation by double blind peer review. Support Amigos do Museu Nacional do Azulejo This journal is funded by FCT – Fundação para a Ciência e a Tecnologia (Portuguese national funding agency for science, research and technology; FCT-Portugal) through national fundings obtained from project UID/EAT/04189/2013

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)0.004
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.088
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0030.001
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9120.779

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 head0.318
GPT teacher head0.605
Teacher spread0.287 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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