Absentee and Write-In Ballots: Constitutional and Policy Considerations
Bibliographic record
Abstract
The most reported statistic on election night, apart from the vote count, is the percentage of eligible citizens who cast a ballot. Voter turnout is frequently cited as a measure of the health of our democracy. In recent years policy makers and Chief Electoral Officers have dedicated themselves to creating multiple �voting opportunities� in order to make voting more accessible to the electorate. Since 2007, Newfoundland and Labrador has allowed an elector to vote up to four weeks before an election is called and to do so by writing into a blank space, on an absentee ballot, his or her party of choice. This practice of pre-writ voting, and voting-by-party, is currently the subject of a constitutional challenge before the Newfoundland and Labrador Supreme Court. The ultimate decision could have an impact for election law in all Canadian jurisdictions. This article looks at the situation across Canada as well as the specifics of the Newfoundland case.
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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 | 0.058 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.022 | 0.019 |
| Scholarly communication | 0.025 | 0.006 |
| Open science | 0.009 | 0.004 |
| Research integrity | 0.013 | 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".