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Record W2912881330

UMA ANÁLISE DA PROTEÇÃO INFORMACIONAL PARA O PATRIMÔNIO CULTURAL

2017· article· pt· W2912881330 on OpenAlexaboutno aff
Anna Karoline Pacheco Teixeira de Araujo, Cátia Rodrigues Barbosa

Bibliographic record

VenueXVIII ENCONTRO NACIONAL DE PESQUISA EM CIÊNCIA DA INFORMAÇÃO (XVIII ENANCIB) · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceCultural heritageArtLaw
DOInot available

Abstract

fetched live from OpenAlex

O dano ao patrimonio cultural e recorrente, mesmo diante do numero de sancoes previstas pela lei.  Objetiva-se compreender como a informacao pode colaborar na preservacao do patrimonio cultural. Sao objetivos especificos: comparar em quais aspectos e onde estao disponiveis as informacoes de patrimonios culturais materiais localizados nas cidades de Sabara (Minas Gerais, Brasil) e Montreal (Quebec, Canada) afim de possibilitar contribuicoes e inovacoes na busca da preservacao de bens; fomentar a participacao do cidadao na protecao do patrimonio cultural por meio da disponibilizacao de um prototipo mobile. Os resultados iniciais da analise comparada demonstram que os patrimonios culturais mais visitados, citados e conhecidos sao os que possuem maior grau de protecao e menor dano. A protecao informacional e concebida na presente pesquisa como a possibilidade do uso da informacao para a reducao do risco de dano eminente ou potencial do bem cultural. Para demonstrar a aplicacao do conceito, a presente pesquisa concebeu a construcao de um prototipo que pretende disponibilizar as fontes de informacao identificadas nos patrimonios culturais escolhidos em ambiente virtual de livre acesso que podera colaborar no despertar do cidadao-usuario para a necessidade de protecao do bem e ao mesmo tempo identificar os possiveis danos ao patrimonio cultural.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0100.002
Scholarly communication0.0070.010
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.051
GPT teacher head0.292
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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