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Record W4372402520 · doi:10.54691/bcpbm.v45i.4940

Study of the Ice Hockey Popularity and Future Planning in China

2023· article· en· W4372402520 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBCP Business & Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsIce hockeyChinaPopularityCompetition (biology)Government (linguistics)Political scienceAdvertisingBusinessGeographyEcology

Abstract

fetched live from OpenAlex

Ice Hockey had become a popular sport activity in Northern Countries like Canada. It has a long history in America and Europe, and people had established a mature system of competitions and games. It even derived other sports like floor hockey and roller hockey. Chinese government tried to import this kind of sport, encourage people to challenge themselves. This study describes the origins of ice hockey and analyses the geographical, economic, cultural and human constraints to the development of ice hockey in China. It finds that the sport is limited in China by the reasons, such as environment, the cost of equipment and the lack of professional staff. The article concludes with recommendations for the development of ice hockey in China from the perspectives of media, training and competition. Even though ice hockey has been slow to develop in China, with the opportunity of the 2022 Winter Olympics and the growing awareness of the sport, it is hoped that the diversity of ice and snow sports will enrich people's lives.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.311
Teacher spread0.277 · 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