Bibliographic record
Abstract
This article offers a response to arguments put forward by Rainer Knopff and Dave Snow in the Canadian Parliamentary Review about the 2008 prorogation controversy. In ��Harper�s New Rules� for Government Formation: Fact or Fiction?� (Vol. 36, No. 1), Knopff and Snow dismiss the theory that the Conservative government and its well-known supporters in the punditry believed that changes in partisan control of parliamentary government could only occur following fresh elections, thereby establishing �new rules�. Instead, they suggest the arguments of government supporters at the time, most notably those of political scientist Tom Flanagan, fit within the mainstream of Canada�s parliamentary tradition and engaged with an �older consensus� articulated by constitutional expert Eugene Forsey in The Royal Power of Dissolution. In his response to this piece, the author is critical of Flanagan�s engagement with Forsey�s book-length argument and suggests Forsey�s conditions for dissolving parliament and holding a new election were not met in the face of the proposed coalition government in 2008.
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.
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 | 0.035 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.009 | 0.023 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.028 | 0.039 |
| Insufficient payload (model declined to judge) | 0.004 | 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".