A Profile of Rule Infractions in Bantam Level Ice Hockey
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
The purpose of the present study was to provide a profile of rule infractions at the Bantam (14–15 years old) level of ice hockey. For each penalty, information is provided on the: (a) category and type, (b) period of the game, (c) number of players penalized, and (d) zone and area on the ice surface where the infraction occurred. Gamesheet reports and videotapes of 55 games from five leagues revealed 850 penalties. There was an average of 15.5 penalties per game with most penalties classified as minor aggression penalties (62.4%). The number of penalties tended to increase from the first period to the third period. Most of the penalties were assessed to one player at a time (74.9%); however, the percentage of multiple player penalties tended to increase from one period to the next. More penalties were assessed to players in their defensive zone, and particularly in the area in front of the net.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.040 | 0.002 |
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