Florida Panthers Name Richard Pollock, 08, Pro Scout
Bibliographic record
Abstract
The Florida Panthers announced today the hiring of Richard Pollock as a professional scout and Josh Weissbock as a prospect consultant. A native of Winnipeg, Manitoba, Pollock founded the hockey news and analysis website IllegalCurve.com in 2007, one of the first of its kind. His writing has also been featured on ESPN and Hockey Prospectus. Most recently, Pollock has served as the lead analyst on the weekly “IllegalCurve Hockey Show” on Winnipeg’s TSN affiliate, AM 1290, and as a color commentator and analyst during select NHL broadcasts on the same station. Pollock, a lawyer in Winnipeg, is a 2008 graduate of the University of North Dakota School of Law. Since 2011, Weissbock, a native of Vancouver, British Columbia, has been involved in hockey research and writing in the area of prospect analysis. He has consulted for various professional, amateur, and national teams and presented at industry conferences. Weissbock studied Computer Science, Machine Learning and Natural Language Processing at the University of Ottawa, where he earned his master’s in 2014 and was an Academic All-Canadian (Rowing). Weissbock will continue his current professional role working for the Canadian government.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.440 | 0.155 |
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".