THN On The 'Dub': Montreal's WHLers and NHL Central Scouting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On this episode of The Hockey News On The 'Dub' Podcast with Carol Schram and Lizz Child:- Connor Bedard tops the mid-term rankings from NHL Central Scouting. The WHL figures prominently at the top of the North American lists. Lizz tells us who she thinks is too high and who's too low.- Two of this week's three stars hail from the Everett Silvertips and one from the Victoria Royals, with both teams in tight races for playoff positioning.- The Montreal Canadiens are the NHL team of the week. Their fifth-round pick from 2022, Jared Davidson, is having an excellent season back with the Seattle Thunderbirds. WHL alumni in the Canadiens organization include Gianni Fairbrother, Kaiden Guhle, Kirby Dach, Joel Edmundson and Brendan Gallagher.- Our goalies of the week were traded for each other, not long before the deadline. Braden Holt is excelling in Victoria, while Tyler Palmer has been a workhorse in Everett.- In our Connor Bedard Watch, eight points and two game-winners for the WHL's top scorer this week, as Bedard hits 600 shots in his Dub career to date. Lizz sets a points target she wants Bedard to meet this week before he heads to the Top Prospects game, and Carol ponders his place in the history of B.C.'s top hockey players.
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.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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 it