Proposal for improving the game day experience in the ELH based on the NHL
Bibliographic record
Abstract
Title: Proposal for improving the game day experience in the ELH based on the NHL Objectives: The main goal of the diploma thesis is to suggest the program arrangement of the game day for the visitors of the Czech hockey league. The thesis targets on new features appropriate for the Czech environment but also for the improvement of the current ones. Another goal of the thesis is to describe the attitude of the game day management teams to the accompanying program in ELH and NHL which represent the image of the league itself. Methods: The main sources for collecting the data are as the following: a structured observation and in-depth interviews. All of the information is collected based on the questions created for the purpose of the thesis. The theoretical part of the thesis is based on the literature sources and the consultations with experts in the field of the Czech and Canadian-American icehockey. Results: The main result of the diploma thesis is the suggestion for the improvement of the gameday program of the club HC Sparta Praha. The suggestion was prepared based on the analysis using the methods stated above. The suggestion includes elements usable in front of the arena before the game starts. The other elements cover the program inside of the arena and during the game itself. Keywords: Ice...
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".