Protests, signaling, and elections: conceptualizing opposition-movement interactions during Argentina’s anti-government protests (2012-2013)
Bibliographic record
Abstract
This article explores the interface of protest movements and opposition parties, considering this remains conceptually under-specified. It does so by proposing a processual framework involving three mechanisms of party-movement interaction – signaling, frame-alignment, and coalition-building – at play in different phases of a contentious cycle unfolding under electoral conditions. Drawing on novel interview data, the article validates this proposal by tracing direct and indirect effects between protest signals, activists, and Argentine opposition parties during the year-long contentious cycle that preceded the defeat of the Kirchner government in the 2013 legislative elections. On this basis, it is argued that interactive dynamics between protest actors and political parties can significantly affect opposition politics, supporting the emergence of collaborative strategies that may have major electoral implications. The article thus makes relevant theoretical and empirical contributions, by both offering an analytical bridge between social movement and party politics literatures with potential for further elaboration, while illuminating new developments concerning the positioning of Latin American center-right parties in relation to mass protests.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".