Bibliographic record
Abstract
Tecnologias de Informação e Comunicação (TICs) providas pelos grandes conglomerados digitais que dominam uma paisagem aqui denominada capitalismo de plataforma passaram a configurar o ambiente de salas de aula digitais em 2020, quando a pandemia do coronavírus confinou no ensino remoto quase 1,5 bilhão de estudantes no mundo. Neste artigo, abordamos como diferentes níveis de desigualdade digital impactaram parcela relevante da população. Em nosso percurso teórico-metodológico, valemo-nos do conceito de regime de informação como chave para compreender o ambiente político, econômico e social em que essas mudanças se inserem. Em seguida, usamos pesquisas de fonte secundária para traçar um panorama da desigualdade digital no país. Por fim, propomos a competência crítica em informação como ferramenta para reconhecer e questionar o regime de informação vigente e, assim, abrir caminho para o exercício de uma cidadania ativa empenhada em mitigar a desigualdade digital, por meio de uma práxis transformadora.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.032 | 0.011 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".