Representational Style Across National and Constituency Contexts: Members of Parliament in Australia, Canada, New Zealand and the United Kingdom
Bibliographic record
Abstract
In this study, we ask how and why do Members of Parliament adopt different representational styles? Looking at MPs in four Westminster-style democracies, we identify differences between MPs and inductively explore influences on representational styles by first using participant observation to gain deep insights into the activities of a small sample of MPs and then by using semi-structured interviews from a larger sample to elucidate findings from the observations across states. Our primary focus is the method of connection between representative and citizen, as fostered by the representative while present in the constituency. Despite similar institutional and electoral contexts across countries, we find a significant variation that is influenced by both country-level and constituency-level factors. Findings suggest a continuum from highly service-oriented to highly symbolic-oriented styles, where MPs from the UK illustrate the former, and MPs from Canada illustrate the latter, though with further variation at the constituency level that is based, in part, upon both geography and demographics.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".