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Record W2188877754 · doi:10.5753/cbie.wcbie.2015.568

Técnicas de Marcação Estruturada na Otimização de Sites para Buscas Semânticas: Um Estudo de Caso com o Site do Curso de Ciência da Computação do IFSULDEMINAS Câmpus Muzambinho

2015· article· pt· W2188877754 on OpenAlexfundno aff
Everson Felix Leite, Aracele Garcia de Oliveira Fassbinder, Ramon Marques Silva

Bibliographic record

VenueAnais ... Workshops do Congresso Brasileiro de Informática na Educação · 2015
Typearticle
Languagept
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsnot available
FundersCanadian Bureau for International Education
KeywordsHumanitiesComputer sciencePhilosophyPhysics

Abstract

fetched live from OpenAlex

Este artigo aborda a relação da web semântica com os motores de busca, mais precisamente sobre a influência que o uso de técnicas de SEO em conjunto com marcação estruturada das informações exerce sobre estes mecanismos. Assim, busca-se realizar a investigação, aplicação, analise e avaliação de técnicas de SEO e marcação estruturada em um contexto real, no caso o website do curso de ciência da Computação IFSULDEMINAS Câmpus Muzambinho.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.004
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0070.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.055
GPT teacher head0.325
Teacher spread0.270 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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