Blue Jackets hire controversial coach in John Tortorella
Bibliographic record
Abstract
Tortorella won a Stanley Cup with the Tampa Bay Lightning and led the New York Rangers to the Eastern Conference Finals The coach who once threatened a reporter... CUT And dropped f-bombs at press conferences... CUT And even went into the opponent's locker room to pick a fight is now back in the NHL. The Columbus Blue Jackets have hired John Tortorella, who's been out of the league since missing the playoffs in his only season with the Vancouver Canucks. After taking a year off, he says he's aiming to be a better listener in his new job... CUT Before his single season in Vancouver, , becoming the winningest NHL coach born in the United States. His goal in Columbus may be just to a win a game, as the Blue Jackets have lost their first 7 games this season. That's not only the worst start in franchise history, but just the sixth time any NHL team has lost so many games to start a season.
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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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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; both teacher heads agree on what is shown here.
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".