Framing an Online Social Movement: How Do the Leadership and Participants of the Egyptian 6th of April Youth Movement Frame their Facebook Activism?
Bibliographic record
Abstract
The talks about the horizontality of Internet activism and the advent of social media applications have drawn great attention recently where leadership, organization and coordination are no longer tasks of a movement’s leadership, but also the general participants. This content analysis research attempts to show how the Egyptian 6 th of April Youth Movement framed its own activism and what this multiplicity of actors-based framing meant to social movement discourse. The significance of this study lies in its potential to contribute to the understanding of diverse frames by leaders and participants, with the latter rapidly emerging as new agents of social movements. The findings show that the leadership and participants used similar cause, motivational and consequence frames (the three social movement framing tasks), but the leadership used these frames more frequently than the participants and had a larger influence than the participants in the overall framing of the 6th of April Youth Movement.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".