Canada election candidate quits after urinating in mug
Bibliographic record
Abstract
After he was caught on camera urinating into a coffee cup while working in someone's home. , a tradesman's dropped out of the race for a seat in Canada's parliament. Jerry Bance was running as a Conservative in a Toronto district, but Monday a party spokesman said he's \no longer a candidate\. In 2012, Bance was filmed by hidden cameras trying to fix a leaky sink as a repairman, for an episode of CBC-TV's series Marketplace. The show's goal was to expose and confront workmen overcharging for simple repairs. With the homeowner in the next room, Bance's seen relieving himself into a mug before tossing the contents into the sink and rinsing it out. He said he was \deeply regretful\ over the incident. But some opposing politicians didn't waste any time cracking jokes. Like New Democrat leader Tom Mulcair, who said Bance, \Must be someone who's adept at Prime Minister Stephen Harper's trickle-down theory of economics.\ Last week, Canada officially entered a recession after its second consecutive quarter of economic shrinkage. Canadians head to the polls, October 19th.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.287 | 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 teacher head, 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".