Evolving repertoires: Digital media use in contentious politics
Bibliographic record
Abstract
The spread of the Internet coupled with knowledgeable users has led to the use of digital media as a tool for advocacy and activism. Building on theoretical foundations of eventful histories and digital formations, this article investigates the interrelated nature of contentious politics and digital technologies. Our analysis documents the eventful history of changing digital repertoires of contention in the context of messaging, blogging, and social networking sites in Iran. We argue that investigating single moments of protest offers only snapshots of how digital technologies are used in contentious politics, and entails the risk of focusing on a single platform rather than the mosaic of online and offline repertoires. We demonstrate that documenting event histories challenges the assumptions of the emancipatory nature of a specific technology by revealing the changing efficacy of repertoires during different moments of contention; therefore, we should avoid assigning stable causal relations between digital technologies and the democratization processes of societies.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".