Defencemen highlight 2015 Hockey Hall of Fame class
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
A trio of defencemen will take center stage when they are inducted into the Hockey Hall of Fame this year. Former Detroit Red Wings Niklas Lidstrom is one of the three. He spent 17 years with the Wings, winning 7 Norris Trophies for best defender and 4 Stanley Cups. Joining him will be a former teammate, forward Sergei Fedorov. In 1,248 career games, Fedorov scored just shy of 500 goals and was the first Russian-born player to win the Hart Trophy- the MVP award- in 1994. Also in class of 2015, defenceman Chris Pronger...who isn't even retired...and was actually just traded over the weekend. He hasn't played because of concussion issues since the 2011-2012 season and isn't expected to play again. Pronger won the Hart Trophy in 2000, won 2 Olympic gold medals, and was named an All-Star four times. Legendary blueliner Phil Housley waited 9 years before getting the call to the Hall of Fame...he's the 4th highest-scoring defenceman in NHL history, and played in nearly 1,500 career games with 8 different teams. Joining the men is one of the most decorated WOMEN'S hockey players in history...American Angela Ruggiero. She won 4 olympic medals, including the gold in 1998. She's just the 4th woman elected to the Hockey Hall of Fame as a player. The 2015 Induction Celebration will be held on Monday, November 9th at the Hockey Hall of Fame in Toronto.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.052 |
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