Bibliographic record
Abstract
Few people have bothered to defend the Majoritarian, winner take all character of the current Canadian electoral system. This parliamentary system has been in existence in the same form since the founding of the modern state in 1867. In these remarks, I offer a defense of Majoritarianism in the Canadian context when the alternative is some form of Proportional Representation. These remarks were prepared as an opening statement in a debate on electoral reform at a Faculty of Public Affairs 75th Anniversary conference at Carleton University, March 3, 2017. \n \nThe debate arose because of the Prime Minister's announced intention to replace the current system with some other during the election campaign that led to his victory in 2015. The debate occurred a few months after the release of a lengthy report on electoral reform by a special allparty committee of the House of Commons. A few weeks before the debate, the Prime Minister announced (independently of the debate, of course) that his government would no longer pursue electoral reform, perhaps because it looked like he would not be able to avoid a referendum, a process which is hard to control. In any event, and especially in the light of recent attempts to change the system both at the federal level and in some provinces, I think it is important for people to understand that the existing electoral system is a sensible one that likely will continue to serve us well.
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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.063 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.012 |
| 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".