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A Ciência Aberta e o grupo Texto Livre por uma educação libertadora

2022· article· pt· W4313328612 on OpenAlexaff
Elaine Teixeira da Silva, Bárbara Amaral da Silva, Fábio dos Santos Coradini, Lohaine Miguez Martins

Bibliographic record

VenueLeitura Teoria & Prática · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Este capítulo tem como principal objetivo apontar a importância do Texto Livre para a difusão do conhecimento e para a educação por meio da Cultura Livre, como também apresentar alguns softwares que são usados pelo TL na organização dos eventos UEaDSL e CILTec - Online, os que são produzidos pelo grupo para uso externo, e também apontar as produções dos eventos como recursos educacionais abertos (REA), visto que a filosofia do grupo alinha-se aos princípios e características dos REA. Consideramos que, em seus 15 anos, o Texto Livre comprova que é possível a promoção e o incentivo à produção e compartilhamento do conhecimento com base na Cultura Livre e na Ciência Aberta.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.006
Scholarly communication0.0100.008
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0460.007

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 head0.061
GPT teacher head0.346
Teacher spread0.285 · 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.

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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