The organisational strategies of movements in referendums from below
Bibliographic record
Abstract
Referendums present a rare occasion for movements to have a central role in political developments and emerge from the shadow of the usually more dominant political parties. Tarrow and McAdam have argued that the interaction of parties and movements intensifies around elections: movements can mobilise proactively prior to elections, or reactively to their outcomes (McAdam and Tarrow, 2010: 534). The same can be said for party–movement interactions around referendums, with perhaps a greater emphasis on movements as key participants in campaigns themselves rather than simply reacting to political parties’ initiatives. Indeed, on multiple occasions, campaigns led by movements have defeated referendums introduced and backed by political parties, such as in the Canadian constitutional referendum in 1992 (Pammett and LeDuc, 2001) or the referendum on the first Lisbon Treaty in Ireland (Kissane, 2009). Together with elections, referendums are perhaps the best-established form of mass democratic participation. Although there are many similarities between electoral and referendum campaigns, there are also some significant differences, particularly in terms of the latter's openness to broader participation. First, elections are by definition characterised by competition between political parties, while movements are limited to endorsing or opposing certain politicians or parties, and thus confined to the margins. Referendums, on the other hand, are more open to movement engagement. Certain states and regions even facilitate referendums triggered by popular initiatives (see Barankay et al, 2003). Second, elections are part of often well-established short-term electoral cycles centred on regular elections at the municipal, regional, national and European levels. Referendums are often the culmination of decades-long mobilisation, particularly those addressing questions of national sovereignty. Yet, the definitive result of these long mobilisations is often the result of a much shorter, more condensed referendum campaign (LeDuc, 2009: 139). Therefore, the timing of both the referendum campaign and the broader mobilisation that preceded the vote is a key element to understanding the dynamics of referendums. Third, all votes in referendums generally count equally, resulting in territorially extensive campaigns – in sharp contrast to the strategic concentration of resources on decisive marginal constituencies or party strongholds in elections. Finally, referendum campaigns are often more decisive in determining outcomes than are electoral campaigns because they are usually more volatile, often because of parties’ ambiguous roles (LeDuc, 2002b).
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.007 |
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".