Understanding Power-Sharing within Political Parties: Stratarchy as Mutual Interdependence between the Party in the Centre and the Party on the Ground
Bibliographic record
Abstract
Recent literature has renewed interest in the stratarchical model of intraparty decision-making. In this version of party organization, the functions performed by parties are distributed among their discrete levels. The result is a power-sharing arrangement in which no group has control over all aspects of party life. Thus, the model potentially provides an antidote to the hierarchical version of organization. This article examines the principal parties in Australia, Canada, Ireland and New Zealand to test whether there is empirical evidence of stratarchy. An examination of candidate nomination, leadership selection and policy development finds strong evidence of shared authority between both levels of the party in key areas of intraparty democracy. Both levels accept that they cannot achieve their goals without the support of the other and so a fine balancing act ensues, resulting in constant recalibration of power relations. There is, however, little evidence of the commonly presented model of stratarchy as mutual autonomy for each level within discrete areas of competency. Instead, both the party on the ground and in the centre share authority within all three areas, resulting in a pattern of mutual interdependence rather than mutual autonomy.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".