Bibliographic record
Abstract
Party Reform is a new comparative study of the politics of party organization. The book provides a novel perspective in party scholarship and develops the concept of ‘reform’ as distinct from evolutionary and incremental processes of party change. As an outcome, reform is captured in deliberate and often very public changes to parties’ organizational rules and processes. As a process, it offers a party the opportunity to ‘rebrand’ and publicly alter its image, to emphasize certain strategic priorities over others, and to alter relationships of power within the party. Analysing the last ten years of party reform across a handful of established democracies including Australia, the United Kingdom, Canada, and Germany, the book examines what motivates political parties to undertake organizational reforms and how they go about this process. The book demonstrates that declining party memberships have had a fundamental effect on the way in which political parties ‘sell’ organizational reform: as part of a broader rhetoric of democratization, of re-engagement, and of modernization delivered to diverse audiences—both internal and external to the party. The chapters focus particularly on four key reform initiatives that begin to blur the traditional boundaries of party: the introduction of primaries, the changing meaning of party membership, issues-based online policy development, and community organizing campaigns. Using these cutting-edge developments as primary examples, this book provides a framework for understanding why, and how, reforms occur, and what the consequences might be in terms of participation and representation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.008 |
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".