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
Canadians often see politicians as little more than trained seals who vote on command and repeat robotic talking points. Politicians are torn by dilemmas of loyalty to party versus loyalty to voters. Whipped examines the hidden ways that political parties exert control over elected members of Canadian legislatures. Drawing on extensive interviews with politicians and staffers across the country, award-winning author Alex Marland explains why Members of Parliament and provincial legislators toe the party line, and shows how party discipline has expanded into message discipline. He recounts stories from Prime Minister Brian Mulroney’s drive for caucus cohesion in the 1980s through to the turmoil that the SNC-Lavalin crisis wrought on Justin Trudeau and the Liberal Party in 2019. From caucus meetings to vote instructions, this book exposes how democracy works in our age of instant communication and political polarization. Filled with political tips, Whipped is a must-read for anyone interested in the real world of Canadian politics.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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