Hung Parliaments and the Challenges for Westminster and Whitehall: How to Make Minority and Multiparty Governance Work (with Commentaries by Turnbull, Beith, Evans and Crick)
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
The return of a hung parliament at the 2010 general election is a serious possibility. But due to Westminster's limited recent experience of parliaments under ‘no overall control’ there is little institutional memory in Whitehall or Westminster, and even less public understanding, of what the implications would be. This article sets out to analyse the principal challenges that would be faced by government, opposition, parliament and the media in the event of a hung parliament. Drawing on experience from Canada, New Zealand and Scotland, we discuss the difficulties that may arise during the immediate government formation process and in the course of making minority or multiparty governance work on an ongoing basis. We conclude that a hung parliament need not undermine political stability or effective governance, but that all actors would need to adapt their behaviour and should therefore prepare carefully for this eventuality.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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