David Hart's experience during the Munich Massacre, How mayoral races should be covered, How to avoid distracted driving
Bibliographic record
Abstract
With 15 people running for mayor of Hamilton, who should be covered? Does each member of the race deserve an equal amount of coverage?Guest: Larry Di Ianni, former Mayor of Hamilton-Halton Police Constable Norm Denault has given out over 5,000 traffic tickets. What is distracted driving, How can people avoid it and save themselves from tickets? Constable Denault joins Scott to answer these questions and more.Guest: Norm Denault, Halton Police Constable-Bubba O'Neil and Scott discuss the Bluejays , and if the amount of hate Mark Shapiro and Ross Atkins receive is unreasonable.Guest: Bubba O'Niel, of CHCH Sports-On this day in 1972 at the Munich Olympics, Palestinian terrorist broke into the athletes village and took 11 members of the Israeli Olympic Team hostage before killing them. Our guest is Hamilton's David Hart, whose life intersected with these events while he was in Munich as part of the Canadian Men's National Water Polo Team.Guest: David Hart, Member of the Hamilton Sports Hall of Fame
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 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 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".