MétaCan
Menu
Back to cohort
Record W2225165248 · doi:10.5753/cbie.wcbie.2015.898

Redes Sociais e Fabricação Digital na Construção de Objetos para apoio a Atividades Educacionais

2015· article· pt· W2225165248 on OpenAlexfundno aff
André Peres, Evandro Manara Miletto, Fabiana Lorenzi, Elidiane Zayaeskoski, Ramón Silva-Acuña, Gianfranco Meneguz

Bibliographic record

VenueAnais ... Workshops do Congresso Brasileiro de Informática na Educação · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
FundersCanadian Bureau for International Education
KeywordsHumanitiesComputer scienceWorld Wide WebArt

Abstract

fetched live from OpenAlex

Este artigo descreve uma estrutura tecnológica criada para a proposição, fabricação e divulgação de objetos físicos para apoio a atividades educacionais. A proposição, definição e especificação dos objetos é feita de forma colaborativa através de uma rede social virtual específica e a fabricação realizada utilizando-se um laboratório de fabricação digital. Após a fabricação e testes, o objeto criado é divulgado na Internet em um repositório público para que seja recriado, estudado, utilizado e modificado pela comunidade.

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)0.002
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0040.009
Scholarly communication0.0120.011
Open science0.0010.007
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.092
GPT teacher head0.364
Teacher spread0.273 · 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
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

Explore more

Same venueAnais ... Workshops do Congresso Brasileiro de Informática na EducaçãoSame topicEducation and Digital TechnologiesFrench-language works237,207