Polls and the Vote in Britain
Bibliographic record
Abstract
Little is known about the evolution of electoral sentiment over British election cycles. How does party support converge on the eventual election outcome? Do preferences evolve in a patterned and understandable way? What role does the official election campaign period play? In this article, we begin to address these issues. We outline an empirical analysis relating poll results over the course of the election cycle and the final vote for the three main political parties. Then we examine the relationship relying on vote intention polls for the seventeen British general elections between 1950 and 2010. Predictably, polls become increasingly informative about the vote over the election cycle. More surprisingly, early polls contain substantial information about the final outcome, much more than we see in presidential and congressional elections in the US. The final outcome in Britain comes into focus over the long campaign and is to a large extent in place well before the official election campaign begins. The findings are understandable, we think, but raise other questions, which we begin to consider in a concluding section.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".