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Record W7135578013

Proposal for improving the game day experience in the ELH based on the NHL

2019· dissertation· cs· W7135578013 on OpenAlexaboutno aff
Adam Mašek

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2019
Typedissertation
Languagecs
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsCzechClubLeagueUSableField (mathematics)Cover (algebra)
DOInot available

Abstract

fetched live from OpenAlex

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...

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.285
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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