Agenda control in EU referendum campaigns: The power of the anti‐EU side
Bibliographic record
Abstract
Abstract European Union (EU) referendums provide unique opportunities to study voters’ attitudes toward a distant level of governance. Scholars have long tried to understand whether EU referendum results reflect domestic (dis‐)satisfaction with the incumbent governments or actual attitudes toward the Union. Finding evidence supporting both domestic and European factors, the recent focus has thus turned to referendum campaigns. Recent studies emphasise the importance of the information provided to voters during these campaigns in order to analyse how domestic or European issues become salient in the minds of voters. These studies nonetheless overlook the asymmetrical political advantage in such campaigns. The broader literature on referendums and public opinion suggest that in a referendum, the ‘No’ side typically has the advantage since it can boost the public's fears by linking the proposal to unpopular issues. This article explores whether this dynamic applies to EU treaty ratification referendums. Does the anti‐EU treaty campaign have more advantage than the pro‐EU treaty campaign in these referendums? Campaign strategies in 11 EU treaty ratification referendums are analysed, providing a clear juxtaposition between pro‐treaty (‘Yes’) and anti‐treaty (‘No’) campaigns. Based on 140 interviews with campaigners in 11 referendums, a series of indicators on political setting and campaign characteristics, as well as an in‐depth case study of the 2012 Irish Fiscal Compact referendum, it is found that the anti‐treaty side indeed holds the advantage if it engages the debate. Nonetheless, the findings also show that this advantage is not unconditional. The underlying mechanism rests on the multidimensionality of the issue. The extent to which the referendum debate includes a large variety of ‘No’ campaign arguments correlates strongly with the campaigners’ perceived advantage/disadvantage, and the referendum results. When the ‘No’ side's arguments are limited (either through a single‐issue treaty or guarantees from the EU), this provides the ‘Yes’ side with a ‘cleaner’ agenda with which to work. Importantly, the detailed data demonstrate that the availability of arguments is important for the ‘Yes’ side as well. They tend to have the most advantage when they can tap into the economic costs of an anti‐EU vote. This analysis has implications for other kinds of EU referendums such as Brexit, non‐EU referendums such as independence referendums, and the future of European integration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".