Bibliographic record
Abstract
In this article, the concept of the `two-and-a-half-party system' is re-examined, with particular focus on the role of the `half'. The analysis is on longer-term parliamentary democracies since 1945 or democratization. First, various ways of measuring a party system are outlined, and a new alternative is proposed. Based on this, 10 countries are seen to qualify (at least for certain time periods) as two-and-a-half-party systems: Australia, Austria, Belgium, Canada, Germany, Greece, Ireland, Portugal, Spain and the United Kingdom. Each of these systems is outlined and analysed. This category is then contrasted with both two-party systems and multiparty systems in order to explain its causes. Next, some general conclusions about when `half' parties are likely to matter more (in a governmental sense) are made, with a particular distinction occurring between `hinge' and `wing' half parties. Finally, the geographic shift in the presence of two-and-a-half-party systems is noted.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".