Transnationale Netzöffentlichkeiten als neue politische Öffentlichkeiten – Das kritische Potential digitaler Medien am Beispiel arabischer OnlinePlattformen
Bibliographic record
Abstract
Even in the first few weeks of the so-called "Arab Spring" in January 2011, digital media were identified as being essential instruments for organizing the political protests in the Middle East and North Africa. Yet digital media had already started to play a political role as arenas of discourse in which topics such as democracy, minority rights, gender and religion could be debated at least two to three years earlier. A critical online public sphere arose which had a transregional and global focus right from the start, as reflected in the self-image of one network actor when he explained: "In real life I'm a Saudi guy living in Saudi Arabia. But online I'm multinational, I'm multigeographical". This article presents the results of a study entitled "Communicative publics in cyberspace" investigating digital platforms which had been initiated in the Arab world, which is also where most of the contributions come from; this analysis is backed up by interviews with network actors and bloggers from Saudi Arabia, Bahrain, the United Arab Emirates and Yemen. Following the concept of Nancy Fraser's transnational public spheres (2007). I analysed the normative legitimacy and the efficiency of the communicative authority of digital arenas of discourse in the Middle East, identifying which political practices led to social movements in the digital sphere and which characteristics of digital media contributed to helping digital arenas of discourse turn into places where political resistance can develop.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.018 | 0.025 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".