A Debate on Reform of the Electoral System in Canada - Visions of Canada 2042
Bibliographic record
Abstract
A Debate on Reform of the Electoral System in Canada (A Special Lunchtime Event) during Visions for Canada 2042 at Carleton University. A debate on the questions of whether the current electoral system in Canada should be reformed, and if so how. This debate highlighted the advantages and shortcomings of both the status quo and alternative systems as well as consider the appropriate method for consideration and reform of the electoral system.Presenters:William Cross is Professor and Bell Chair for the Study of Canadian Parliamentary Democracy in the Department of Political Science at Carleton University. He is also serving as President of the Canadian Political Science Association. Cross is widely published and read, and has been involved in the publication of 11 books (as either co/editor or co/author) related to Canadian politics. He received the Research Achievement Award from Carleton University this year. He will act as moderator of the debate.David McGrane is an Associate Professor of Political Studies at St. Thomas More College and the University of Saskatchewan. He has published over twenty peer-reviewed articles, book chapters, and academic books, and maintains a high profile in the media as an expert on both provincial and federal politics and elections. His areas of research include federal-provincial fiscal relations, Canadian provincial politics, Canadian social democracy, and elections. He will argue for electoral reform.Stanley Winer is Professor and Canada Research Chair in Public Policy at the School of Public Policy and Administration and the Department of Economics at Carleton University. His research combines economics and politics to work towards an understanding of the structure and evolution of fiscal systems in modern democracies. He is currently pursuing research addressing the meaning, measurement, and consequences for policy of electoral competitiveness in Canada, the United States, and India. He will defend for the status quo.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.028 | 0.020 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.013 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 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".