Redes Sociais como Lugares Enviesados de Memória: um discurso coletivo da paralização dos caminhoneiros de 2018
Bibliographic record
Abstract
Trata-se de pesquisa exploratória cujo objetivo principal é o de descortinar as relações existentes entre memória coletiva e redes sociais, em especial, o Instagram. Os objetivos específicos são verificar as fotografias relacionadas à paralisação dos caminhoneiros (ocorrida em maio 2018) no Instagram do jornal cearense O Povo Online, categorizar essas publicações segundo critérios de forma e conteúdo e verificar as ideias principais enunciadas nas legendas das fotografias das postagens mais curtidas pelos leitores. Para tal apreciação, toma por instrumentos da pesquisa o questionário semiestruturado e as matérias do O Povo Online referentes à paralisação. Os dados levantados no questionário foram sopesados pelo Discurso do Sujeito Coletivo e comparados com as publicações do jornal, tendo por resultado que as redes sociais são uma potencial ferramenta de rememoração, no entanto, limitadas graças à sua natureza dinâmica e fluida.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".