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 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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".