Media Epiphanies: Selvies and silences in São Paulo street protests
Bibliographic record
Abstract
Abstract Looking at a series of recent large street protests in the city of São Paulo, Brazil, the chapter examines the relationship between political action, urban space, and media use. We specifically look at what we are calling media epiphanies, moments in which the public becomes aware of its existence as a mediated public, that is, as a public that is forged through the use of a particular media. We rely on extensive participant observation and interviews for the description of the June 2013 protests and the subsequent massive rallies. We examine the materiality of the employed media and the experience of participants to understand the meaning of the phenomenon, for which we used a combination of Frankfurt and Toronto Schools approach. The strength of the fluid June 2013 protests in São Paulo questioned the political status quo and served as a trampoline for subsequent media demonstrations whose political impact relied as well on traditional cultural forms. The 2016 impeachment House vote, as a true media event, reconstructed, in positive and negative terms, the fractured political dialogue of representation. The concept of media epiphany can be used to assess the strength of demonstrations and the meaning of collective action in general. Identifying these phenomena, we can give focus to empirical research and better examine the complex intersections between forms of communications, physical environments, and the experience of the individual in contemporary cities.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".