A LITERATURA NO DIGITAL: PERCEPÇÕES DOS JOVENS BRASILEIROS E PORTUGUESES
Bibliographic record
Abstract
Nos últimos anos, o interesse pela leitura na tela aumentou significativamente, o que indica que mudanças no suporte podem refletir no comportamento do leitor. Diante disso, este artigo objetiva analisar as percepções dos jovens sobre a leitura no impresso e no digital. Para tanto, realizou-se um recorte dos dados recolhidos em uma tese em andamento no Programa de Pós-graduação em Estudos da Linguagem. Logo, enfocam-se as respostas de estudantes do último ano da escolarização de dois contextos – cinco escolas públicas brasileiras e uma portuguesa - dadas a um questionário on-line. Como procedimentos metodológicos, realizamos uma pesquisa exploratória de cunho qualitativo. Como resultados, observamos que os jovens prezam pelo livro físico por diferentes motivos, mas estão abertos a novas experiências leitoras na era digital.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.007 |
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.
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".