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Record W3027030039

Collective Hockey Against the Grit and Grind: Ice Hockey as a Reflection of Cold War Differences

2020· article· en· W3027030039 on OpenAlexaboutno aff
Sarai Dai

Bibliographic record

VenueScholar Commons (University of South Carolina) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsIce hockeyGritCold warPolitical sciencePsychologyMedicineLawSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Although the 1980 Miracle on Ice has been thoroughly examined from both the American and Soviet viewpoints, these studies set the game upon a pedestal of its own, a one-off incident that persists in American sports memory today because of its improbability and the subsequent public reaction. However, hockey played a role in Cold War tensions long before the Miracle and exemplified international dynamics and tensions on multiple levels. Through a review of existing literature, this thesis holistically examines the sport of ice hockey as a microcosm of the Cold War. Differences between communism and capitalism produced differences in the organization and play of hockey between the Soviet Union and North America. Moreover, Soviet propagandists took advantage of differing attitudes towards amateurism and capitalist exploitation of sport in order to denigrate the North American game and praise their own. Furthermore, smaller states such as Canada and Czechoslovakia were also able to leverage their substantial hockey programs in order to assert some modicum of independence from their respective superpowers. While many of these differences faded after the end of the Cold War allowed freer and easier exchange of ideas and practices, notably equalizing the playing field, the resumption of US-Russia tensions as well as increasing pressure for American athletes to use their platforms to voice political views mean that lessons learned during the Cold War regarding the politicization of sport are still relevant today.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0170.029
Scholarly communication0.0090.005
Open science0.0020.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.036
GPT teacher head0.246
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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Same venueScholar Commons (University of South Carolina)Same topicSports, Gender, and SocietyFrench-language works237,207