EDUCAÇÃO DO FUTURO OU FUTURO DA EDUCAÇÃO?
Bibliographic record
Abstract
O terror global derivado da COVID-19 solicitou à humanidade refletir profundamente sobre o futuro da educação no mundo. Este artigo discute um tema emergente e polêmico: educação à distância-EAD. Advoga por um controle popular do conhecimento global e das tecnologias digitais baseados em propostas de organização internacionalista de ‘plataformas de resistências globais’. Baseia-se em duas chaves de leitura que flexionam a temática: a primeira refere-se às bases ideológico-narrativas da EAD, quais sejam, o discurso do futuro antecipado e o tecnoidealismo na educação. A segunda conecta um conjunto histórico de normatizações aprovadas na tentativa de moldar a educação à distância no Brasil, assimetricamente, ao projeto econômico, político e educativo de Bolsonaro. Outrosim, discorre sobre a evolução do movimento crítico do campo educacional sobre o debate da EAD. Conclui que é necessário espelhar o lado “esquerdo” da tecnologia e suas potencialidades como mediação a ser conquistada e controlada pelas classes subalternas.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.182 | 0.004 |
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; both teacher heads agree on what is shown here.
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".