Police Intervention Involving Members of the National Assembly: The Importance of Respecting Parliamentary Privilege
Bibliographic record
Abstract
On October 25, 2017, a Member of the National Assembly was arrested by Quebec’s anti-corruption unit (UPAC), whose police officers used a ruse to lure the Member away from the parliamentary precincts in order to arrest him.In the days following the arrest, the President of the National Assembly made a statement in the House on the matter and the Member (who had not been charged on any count whatsoever) addressed his colleagues using the “Personal Explanations” procedure. The Official Opposition House Leader then submitted several requests to the President for directives on parliamentarians’ rights and privileges in the context of police work. In this article, the President recounts the facts surrounding this uncommon event and summarizes the main principles and conclusions of the directive he issued in this matter. The article is based on a speech he gave at the 35th Canadian Presiding Officers’ Conference in Quebec City in January 2018.
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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 | 0.032 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".