Cohesion and discipline in legislatures : political parties, party leadership, parliamentary committees and governance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction 1. Explaining Party Cohesion in Democratic Legislatures: Purposiveness and contexts 2. Legislative Cohesion and Presidential Policy Success 3. Cohesion without Discipline: Party voting in the house of lords 4. Committee Cohesion and the 'Corporate Dimension' of Parliamentary Committees: A comparative analysis 5. The Development of Parliamentary Discipline in New Parliaments: Eastern German state legislature 1990-2000 6. Party Cohesion and Party Discipline in German Parliaments 7. High Discipline, Low Cohesion?: The uncertain patters of Canadian parliamentary party groups 8. Government Party Discipline in Parliamentary Democracies: The cases of Belgium, France and the United Kingdom in the 1990s 9. Party Discipline and Government Imposition of Restrictive Rules 10. Party Cohesion and Discipline Revisited: Contingent unity in the parliamentary party group
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it