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
One of the chief tasks facing political leaders is to build and maintain unity within their parties. This text examines the relationship between party leaders and Members of Parliament in Britain, Canada, Australia, and New Zealand, showing how the two sides interact and sometimes clash. Christopher J. Kam demonstrates how incentives for MPs to dissent from their parties have been amplified by a process of partisan dealignment that has created electorates of non-partisan voters who reward shows of political independence. Party leaders therefore rely on a mixture of strategies to offset these electoral pressures, from offering MPs advancement to threatening discipline, and ultimately relying on a long-run process of socialization to temper their MPs' dissension. Kam reveals the underlying structure of party unity in modern Westminster parliamentary politics, and drives home the point that social norms and socialization reinforce rather than displace appeals to MPs' self-interest.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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